| For: | Alkhawaldeh IM, Albalkhi I, Naswhan AJ. Challenges and limitations of synthetic minority oversampling techniques in machine learning. World J Methodol 2023; 13(5): 373-378 [PMID: 38229946 DOI: 10.5662/wjm.v13.i5.373] |
|---|---|
| URL: | https://www.wjgnet.com/2222-0682/full/v13/i5/373.htm |
| Number | Citing Articles |
| 1 |
Zahra Mohammadi-Pirouz, Karimollah Hajian-Tilaki, Mahmoud Sadeghi Haddat-Zavareh, Abazar Amoozadeh, Shabnam Bahrami. Development of decision tree classification algorithms in predicting mortality of COVID-19 patients. International Journal of Emergency Medicine 2024; 17(1) doi: 10.1186/s12245-024-00681-7
|
| 2 |
Siyu Chen, Jinwen Zheng, Jinying Li. The Impact of Sample Size after Sampling on the Accuracy of Machine Learning Models. 2024 International Conference on Computers, Information Processing and Advanced Education (CIPAE) 2024; doi: 10.1109/CIPAE64326.2024.00017
|
| 3 |
Aditya Bhattacharya, Simone Stumpf, Katrien Verbert. Representation Debiasing of Generated Data Involving Domain Experts. Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization 2024; doi: 10.1145/3631700.3664910
|
| 4 |
Avinash Karhana, Ikjot Saini, Arunita Jaekel. Machine Learning Framework for Detecting False Alerts in Safety Messages. Network 2026; 6(3) doi: 10.3390/network6030053
|
| 5 |
Zhihao Sun, Bing Fu, Yue Li, Jiaqi Su. Robot Arm Motion Classification via AdaBoost and SMOTE on an Imbalanced Multi-Sensor Dataset. 2026 11th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE) 2026; doi: 10.1109/ISAEECE70502.2026.11635637
|
| 6 |
Daqing Wu, Hangqi Cai, Tianhao Li. Food Safety Risk Prediction and Regulatory Policy Enlightenment Based on Machine Learning. Systems 2025; 13(8) doi: 10.3390/systems13080715
|
| 7 |
Samikshya Neupane, Tarun Goswami. Prediction of Imminent Battery Depletion in Implantable Cardioverter-Defibrillator. Sci 2026; 8(4) doi: 10.3390/sci8040072
|
| 8 |
Ankit Halder, Sabyasachi Samantaray, Sahil Barbade, Aditya Gupta, Sanjeeva Srivastava. DrugProtAI: A machine learning–driven approach for predicting protein druggability through feature engineering and robust partition-based ensemble methods. Briefings in Bioinformatics 2025; 26(4) doi: 10.1093/bib/bbaf330
|
| 9 |
Kaliprasanna Swain, Tan Kuan Tak, Kamal Upreti, Pravin R Kshirsagar, Sivaneasan Bala Krishnan, Ramesh Chandra Poonia, Sumya Ranjan Nayak, Mihir Narayan Mohanty. Enhancing Stroke Prediction Using LightGBM With SMOTE-ENN and Fine-Tuning: A Comprehensive Analysis. Cureus Journal of Computer Science 2024; doi: 10.7759/s44389-024-02268-y
|
| 10 |
Aditya Bhattacharya, Simone Stumpf, Robin De Croon, Katrien Verbert. Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems 2025; doi: 10.1145/3706598.3713497
|
| 11 |
Thawirasm Jungrungrueang, Sawrawit Chairat, Kasidach Rasitanon, Praopim Limsakul, Krit Charupanit. Translational approach for dementia subtype classification using convolutional neural network based on EEG connectome dynamics. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-025-02018-7
|
| 12 |
Shihao Song, Sibo Yang. An improved SMOTE method based on triangular scoring mechanism with random perturbation for handling class-imbalanced classification problems. Journal of King Saud University Computer and Information Sciences 2026; 38(3) doi: 10.1007/s44443-026-00494-z
|
| 13 |
Rohan Khan, Tulika Bhardwaj, Carmen Li, Anirban Chakraborty, José M. Seoane, James M. Brooks, Bernie B. Bernard, Adam MacDonald, Natasha MacAdam, Calvin Campbell, Martin Fowler, Casey R. J. Hubert, Blaire Steven. Predicting hydrocarbon presence in marine cold seep sediments using machine learning models trained with benthic bacterial 16S rRNA taxonomy. Microbiology Spectrum 2025; 13(10) doi: 10.1128/spectrum.03033-24
|
| 14 |
Martin Kang, Gary F. Templeton, Seong‐Jong Joo, Han Kyul Kim. Machine learning approach to synthetic data generation: Uncertainty generative model with neural attention. Decision Sciences 2026; 57(1) doi: 10.1111/deci.70021
|
| 15 |
Sara Villasante, Nair Fernandes, Marc Perez, Miguel Angel Cordobés, Gemma Piella, María Martínez, Concepción. Gomez-Gavara, Laia Blanco, Piero Alberti, Ramón Charco, Elizabeth Pando. Prediction of Severe Acute Pancreatitis at a Very Early Stage of the Disease Using Artificial Intelligence Techniques, Without Laboratory Data or Imaging Tests. Annals of Surgery 2026; 284(2) doi: 10.1097/SLA.0000000000006579
|
| 16 |
Benjamin Hagedorn, Mark Pratt, Conor Sweeney, Matt Becker, Danielle Bram, Ben Chou, Aaron Gaines. Assessing risk of groundwater pollution exposure from sea level rise in California. Science of The Total Environment 2025; 989 doi: 10.1016/j.scitotenv.2025.179695
|
| 17 |
Isabella Cristina Cazagranda, Daniel Rech, Stefania Tagliari de Oliveira, Fernanda Mara Alves, Carolina Panis, Guilherme Ferreira Silveira. Artificial intelligence improves risk stratification for breast cancer recurrence and mortality in women exposed to pesticides: a call for reassessment of stratification criteria. Frontiers in Oncology 2026; 16 doi: 10.3389/fonc.2026.1824763
|
| 18 |
Tajul Miftahushudur, Halil Mertkan Sahin, Bruce Grieve, Hujun Yin. A Survey of Methods for Addressing Imbalance Data Problems in Agriculture Applications. Remote Sensing 2025; 17(3) doi: 10.3390/rs17030454
|
| 19 |
Jiahao Xie, Zian Wang, Xiaotao Zhang, Feng Zhang. A critical methodological consideration in machine learning for predicting gallbladder cancer metastasis. International Journal of Surgery 2026; 112(5) doi: 10.1097/JS9.0000000000004923
|
| 20 |
Chuan-Sheng Hung, Chun-Hung Richard Lin, Shi-Huang Chen, You-Cheng Zheng, Cheng-Han Yu, Cheng-Wei Hung, Ting-Hsin Huang, Jui-Hsiu Tsai. FADEL: Ensemble Learning Enhanced by Feature Augmentation and Discretization. Bioengineering 2025; 12(8) doi: 10.3390/bioengineering12080827
|
| 21 |
Spencer Poodiack Parsons. Data bias and public sector AI: a diagnostic simulation of performance and equity trade-offs in predictive policing. International Journal of Public Sector Management 2026; doi: 10.1108/IJPSM-08-2025-0356
|
| 22 |
Manohar Pavanya, Krishnaraj Chadaga, Vennila J, Akhila Vasudeva, Bhamini Krishna Rao, Srikanth Prabhu, Shashikala K Bhat. Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-025-11837-7
|
| 23 |
Tomas Meaney, Vijay Yadav, Isaac Galatzer-Levy, Richard Bryant. Using Digital Phenotypes to Identify Individuals With Alexithymia in Posttraumatic Stress Disorder: Cross-Sectional Study. JMIR Mental Health 2025; 12 doi: 10.2196/83575
|
| 24 |
Bonolo Mmereki, Kebogile Mokwena, Mathildah M. Mokgatle. Sociodemographic outcomes of childhood trauma experiences among young adults in the rural community of South Africa. Health SA Gesondheid 2026; 31 doi: 10.4102/HSAG.v31i0.3271
|
| 25 |
Theoretical and Clinical Geropharmacology. Advances in Pharmacology 2025; 104 doi: 10.1016/bs.apha.2025.01.017
|
| 26 |
Natasha Fox. What influences rates of kidney donation among ethnic minority populations?. Journal of Kidney Care 2026; 11(2) doi: 10.12968/jokc.2025.0022
|
| 27 |
Mengtian Peng, Bin Yu, Juan Hu, Xiaoxin Xie, Jihong He. Radiomics-based classification of pediatric dental trauma in periapical radiographs: a preliminary study. BMC Medical Imaging 2025; 25(1) doi: 10.1186/s12880-025-01877-w
|
| 28 |
Muhammad Waqar, Muhammad Bilal Shahnawaz, Sajid Saleem, Hassan Dawood, Usman Muhammad, Hussain Dawood. Enhancing Heart Attack Prediction: Feature Identification from Multiparametric Cardiac Data Using Explainable AI. Algorithms 2025; 18(6) doi: 10.3390/a18060333
|
| 29 |
Carlos M. Ardila, Anny Marcela Vivares‐Builes, Eliana Pineda‐Vélez. Interpreting Machine Learning in Rare Outcomes. Journal of Oral Pathology & Medicine 2026; 55(6) doi: 10.1111/jop.70134
|
| 30 |
Penglu Yang, Bin Yang, Sameena Naaz. Development and validation of predictive models for diabetic retinopathy using machine learning. PLOS ONE 2025; 20(2) doi: 10.1371/journal.pone.0318226
|
| 31 |
Bahador Bahrami, Saba Abbaszadeh, Hossein Talebi, Majid R. Ayatollahi, Mohammad Reza Khosravani. Machine learning prediction of failure load in composite and metallic single-lap adhesive joints. International Journal of Adhesion and Adhesives 2026; 147 doi: 10.1016/j.ijadhadh.2026.104265
|
| 32 |
Marziyeh Aghabalasafar, Khayyam Salehi. Bridging Predictive Performance and Explainability in Employee Attrition Through Imbalanced Learning and XAI. 2026 International Biennial Conference on Advances in Artificial Intelligence and Data Science (IBAAIDS) 2026; doi: 10.1109/IBAAIDS66771.2026.11567396
|
| 33 |
Parasaram Saketh Pradyumna, Nived Satish Mohan, Lokesh Singh, Deepti Sisodia. BSS-ENN: A Hybrid Borderline Oversampling and Noise Reduction Pipeline for Extreme Class Imbalance. Procedia Computer Science 2026; 283 doi: 10.1016/j.procs.2026.06.576
|
| 34 |
Katherine Cheng, Katerina Ziotopoulou. Machine Learning in Geotechnical Engineering: A Survey of Progress, Gaps, and Opportunities. International Journal of Geomechanics 2026; 26(8) doi: 10.1061/IJGNAI.GMENG-11205
|
| 35 |
Sumin Oh, Seoyoung Sohn, Chaewon Kim, Minseo Park. MCH-Ensemble: Minority Class Highlighting Ensemble Method for Class Imbalance in Network Intrusion Detection. Applied Sciences 2025; 15(23) doi: 10.3390/app152312647
|
| 36 |
Erika María López-López, Osnamir Elias Bru-Cordero, Cristian David Correa-Álvarez. Rare-Event Road-Traffic Fatality Prediction: A Reproducible Machine-Learning Benchmark with Time-Aware Validation, Calibration, and Interpretability. Future Transportation 2026; 6(4) doi: 10.3390/futuretransp6040146
|
| 37 |
Faris Hassan, Mohanad Ali Deifallah, Alaa Zaghloul, Rania Elgohary. The 9th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA’25), Volume 1. Lecture Notes on Data Engineering and Communications Technologies 2026; 273 doi: 10.1007/978-3-032-07336-5_6
|
| 38 |
Jin-On Jung, Simon Moosburner, Lauren Matevish, Brian Jafari, Christiane Bruns, Johann Pratschke, Parsia A. Vagefi, Thomas Schmidt, Madhukar S. Patel, Nathanael Raschzok. Predicting 1-year Graft Survival in Liver Transplantation: A Machine Learning Study Using Registry Data From Germany and the United States. Transplantation Direct 2025; 11(12) doi: 10.1097/TXD.0000000000001878
|
| 39 |
Nafyad Ibrahim Batu, Ilunga Kamika, Tshepo Joseph Malefetse. From clinics to the environment: A systematic review of machine learning and MALDI-TOF MS in the identification of antimicrobial-resistant bacteria. Journal of Microbiological Methods 2026; 243 doi: 10.1016/j.mimet.2026.107414
|
| 40 |
A. N. Nuzla, A. K. M. Nabeel, W. A. S. Nirmal, P. B. Hewavithana, M. L. Jayatilake. Machine learning-based classification of histological subtypes of invasive breast cancer using MRI contralateral breast texture features. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-025-23498-7
|
| 41 |
Saiyang Na, Junzhou Huang. Deep Learning in Drug Design. 2026; doi: 10.1016/B978-0-44-332908-1.00029-5
|
| 42 |
Fitria Wulandari Ramlan, Colm O'Riordan, Gabriel Kronberger, James McDermott. Can Synthetic Data Improve Symbolic Regression Extrapolation Performance?. Proceedings of the Genetic and Evolutionary Computation Conference Companion 2025; doi: 10.1145/3712255.3734356
|
| 43 |
Olachi O. Oleru, Kim‐Anh‐Nhi Nguyen, Peter Taub, Arash Kia. Machine Learning‐Based Flap Takeback Prediction Modeling: Theory for a Real‐Time, Patient‐Specific Postoperative Flap Monitoring and Alert System. Microsurgery 2025; 45(6) doi: 10.1002/micr.70100
|
| 44 |
Jordi Doménech, Saber Mhiri, Olga León, Muhammad Shuaib Siddiqui, Josep Pegueroles. Robust AI-based intrusion detection for IoMT: A data-efficient approach via optimized feature selection and hybrid data balancing. Computer Networks 2026; 284 doi: 10.1016/j.comnet.2026.112359
|
| 45 |
Damian Mikulski, Marcin Kamil Kędzior, Grzegorz Mirocha, Katarzyna Jerzmanowska-Piechota, Żaneta Witas, Łukasz Woźniak, Magdalena Pawlak, Kacper Kościelny, Michał Kośny, Paweł Robak, Aleksandra Gołos, Tadeusz Robak, Wojciech Fendler, Joanna Góra-Tybor. Predictors and Profile of Severe Infectious Complications in Multiple Myeloma Patients Treated with Daratumumab-Based Regimens: A Machine Learning Model for Pneumonia Risk. Cancers 2024; 16(21) doi: 10.3390/cancers16213709
|
| 46 |
Shu Yang, Laiyu Zou, Huixin Liang, Xiaohong Xu, Xiaoling Chen. An interpretable machine learning model for early prediction of Escherichia coli infection in ICU patients. Frontiers in Cellular and Infection Microbiology 2025; 15 doi: 10.3389/fcimb.2025.1682764
|
| 47 |
Sylvester Gomes, Harpreet Dhanoa, Phil Assheton, Ewan Carr, Damian Roland, Akash Deep. Predicting sepsis treatment decisions in the paediatric emergency department using machine learning: the AiSEPTRON study. BMJ Paediatrics Open 2025; 9(1) doi: 10.1136/bmjpo-2024-003273
|
| 48 |
Anthony B. Mutema, Lillian Linda, Daudi Jjingo, Segun Fatumo, Eugene Kinyanda, Allan Kalungi. Predicting suicidality in people living with HIV in Uganda: a machine learning approach. Frontiers in Psychiatry 2025; 16 doi: 10.3389/fpsyt.2025.1584335
|
| 49 |
Jui-Sheng Chou, Peng-Cheng Yeh, Chi-Yun Liu, Kuan-Jung Chen. Improving detection of pollution fee declarations for environmental policy compliance through metaheuristic-optimized ensemble learning. Engineering, Construction and Architectural Management 2026; 33(7) doi: 10.1108/ECAM-08-2024-1113
|
| 50 |
Axiu Mao, Meilu Zhu, Lei Shen, Xiaoshuai Wang, Tomas Norton, Kai Liu. Toward optimal sampling rate selection and unbiased classification for precise activity recognition of farm quadruped animals. Computers and Electronics in Agriculture 2026; 252 doi: 10.1016/j.compag.2026.112103
|
| 51 |
Zhanel Baigarayeva, Assiya Boltaboyeva, Baglan Imanbek, Bibars Amangeldy, Nurdaulet Tasmurzayev, Kassymbek Ozhikenov, Assylbek Ozhiken, Zhadyra Alimbayeva, Naoya Maeda-Nishino. Non-Imaging Differential Diagnosis of Lower Limb Osteoarthritis: An Interpretable Machine Learning Framework. Algorithms 2026; 19(1) doi: 10.3390/a19010087
|
| 52 |
Suman Cha, Hyunjoong Kim. Learning majority-to-minority transformations with MMD and triplet loss for imbalanced classification. Information Sciences 2026; 757 doi: 10.1016/j.ins.2026.123929
|
| 53 |
Miguel Ortiz-Barrios, Sebastián Arias-Fonseca, Helder Jose Celani de Souza, Jose F. Torres-Avila, Ana Maldonado-Olea, Isidro J. Ángel-Gaviria, Tobías A. Parodi-Camano, Omar Ayala Ruiz, Lorena del Jesus Sarao-Cruz, Martha María Sánchez-Bolívar. Optimized explainable AI and digital twin for patient flow improvement in ICU during respiratory epidemics. BMC Medical Informatics and Decision Making 2026; 26(1) doi: 10.1186/s12911-026-03523-z
|
| 54 |
Sonali Lunawat, Jyoti Rao, Pramod Patil. ASBO-MAT-BiLSTM: Social Media Network Anomaly Detection Using Optimized Multihead Attention Transformer based Model. 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT) 2025; doi: 10.1109/IDCIOT64235.2025.10915016
|
| 55 |
Jerina Eda, Tamador Mohaidat, Samiul Islam Niloy, Zhiqi Niu, Md rahat Kader Khan, Kasem Khalil. Artificial intelligence in healthcare: A comprehensive survey on AI-driven diagnosis and patient monitoring. Applied Soft Computing 2026; 190 doi: 10.1016/j.asoc.2025.114429
|
| 56 |
Pa Pa Win Aung, Almo Senja Kulinan, Minsoo Park, Dongyoung Ko, Gichun Cha, Seunghee Park. Mitigating class imbalance in deep learning-based multi-class structural damage recognition using an informatics-oriented data augmentation framework. Advanced Engineering Informatics 2026; 71 doi: 10.1016/j.aei.2026.104430
|
| 57 |
Yun Wang, Xuansheng Wu, Jingyuan Huang, Lei Liu, Xiaoming Zhai, Ninghao Liu. Artificial Intelligence in Education. Lecture Notes in Computer Science 2027; 16586 doi: 10.1007/978-3-032-29773-0_3
|
| 58 |
Qian Xu, Ruicong Yu, Xue Cai, Guanjie Chen, Yueyue Zheng, Cuirong Xu, Jing Sun. Machine learning-based risk factor analysis and prediction model construction for mortality in chronic heart failure. Journal of Global Health 2025; 15 doi: 10.7189/jogh.15.04242
|
| 59 |
Muhammad Nazim Razali, Nureize Arbaiy, Pei-Chun Lin, Syafikrudin Ismail. Optimizing Multiclass Classification Using Convolutional Neural Networks with Class Weights and Early Stopping for Imbalanced Datasets. Electronics 2025; 14(4) doi: 10.3390/electronics14040705
|
| 60 |
Ivan Diryana Sudirman, Patah Herwanto. A Clustering-Based Oversampling Approach for Class Imbalance in Mixed Data. 2025 4th International Conference on Electronics Representation and Algorithm (ICERA) 2025; doi: 10.1109/ICERA66156.2025.11087322
|
| 61 |
Cheng-Ta Li, Chih-An Lai, Jia-Shyun Jeng, Chih-Ming Cheng, Ya-Mei Bai, Chung-Ping Chen. Cognition-Modulated EEG Signatures and Clinical Features in Major Depressive Disorder: A Machine Learning-Based Exploratory Study. Alpha Psychiatry 2026; 27(3) doi: 10.31083/AP50791
|
| 62 |
AI-Driven Synthetic Data for Better Lung Cancer Prediction with TabDDPM and CTGAN. 2025 4th International Conference on Applied Artificial Intelligence and Computing (ICAAIC) 2025; doi: 10.1109/ICAAIC64647.2025.11330602
|
| 63 |
Daina Baublyte, Jeonghee Lee, Madhawa Gunathilake, Jeongseon Kim. Advancing Gastrointestinal Cancer Risk Prediction With Patient-Centered Machine Learning: Machine Learning Modeling Study. JMIR Medical Informatics 2026; 14 doi: 10.2196/78931
|
| 64 |
Xinkang Li, Menglong Gao, Chengyang Zhang, Guikai Ma, Qingyun Zhang, Wenjuan Meng, Tianbai Yuan, Yang Wang, Zhenhua Li. A robust stacked neural network approach for early and accurate breast cancer diagnosis. Frontiers in Medicine 2025; 12 doi: 10.3389/fmed.2025.1644857
|
| 65 |
Seoyun Choi, Youngmi Lee, Minwoo Lee, Jung Hee Byon, Eun Jung Choi. Deep Learning-Based Recurrence Prediction in HER2-Low Breast Cancer: Comparison of MRI-Alone, Clinicopathologic-Alone, and Combined Models. Diagnostics 2025; 15(15) doi: 10.3390/diagnostics15151895
|
| 66 |
Elina Väyrynen, Otso Tirkkonen, Henna Tiensuu, Jaakko Suutala, Vuokko Anttonen, Marja-Liisa Laitala, Katri Kukkola, Saujanya Karki. A Machine Learning Algorithm With an Oversampling Technique in Limited Data Scenarios for the Prediction of Present and Future Restorative Treatment Need: Development and Validation Study. JMIR Medical Informatics 2025; 13 doi: 10.2196/75117
|
| 67 |
Trenton A. Line, Anoop S. Chinthala, Barnabas Obeng-Gyasi, Gordon Mao, Jamie L. Bradbury, Aditya Mittal, Jan Vargas, Ryan T. Kellogg, Enyinna Nwachuku, David O. Okonkwo, Matthew Pease. Comparison of Machine Learning Methods to Predict Early Mortality After Evacuation of Chronic Subdural Hematoma. Neurosurgery Practice 2025; 6(3) doi: 10.1227/neuprac.0000000000000151
|
| 68 |
Aysha Akther, Kazi Masudul Alam, Rameswar Debnath. Automatic detection of manipulated Bangla news: A new knowledge-driven approach. Natural Language Processing Journal 2025; 11 doi: 10.1016/j.nlp.2025.100155
|
| 69 |
Qilin Li, Yaqiang Wang, Weiyi Zhang, Guo Chen, Tao Zhu, Xuechao Hao. Informative Instances are More Important: Hardconstrained Data Generation for Augmenting Postoperative Pulmonary Complication Prediction. 2025 IEEE International Conference on Big Data (BigData) 2025; doi: 10.1109/BigData66926.2025.11401590
|
| 70 |
Siyi Yuan, Song Xu, Xiao Lu, Xiangyu Chen, Yao Wang, Renyi Bao, Yunbo Sun, Xiongjian Xiao, Longxiang Su, Yun Long, Linfeng Li, Huaiwu He. A privacy-preserving platform oriented medical healthcare and its application in identifying patients with candidemia. Scientific Reports 2024; 14(1) doi: 10.1038/s41598-024-66596-8
|
| 71 |
Muhammad Kamran, Muhammad Maaz Rehan, Wasif Nisar, Muhammad Waqas Rehan. ARCADE—Adversarially Robust Cost-Sensitive Anomaly Detection in Blockchain Using Explainable Artificial Intelligence. Electronics 2025; 14(8) doi: 10.3390/electronics14081648
|
| 72 |
Lidan Liu, Bo Liu, Ming Liao, Qiuying Gan, Qianyi Huang, Yihua Yang. Identifying key predictive features for live birth rate in advanced maternal age patients undergoing single vitrified-warmed blastocyst transfer. Reproductive Biology and Endocrinology 2024; 22(1) doi: 10.1186/s12958-024-01295-7
|
| 73 |
Haokun Dong, Shuangzhe Liu, Dat Tran. Neural Information Processing. Communications in Computer and Information Science 2025; 2293 doi: 10.1007/978-981-96-7005-5_13
|
| 74 |
Agnethe S. Olsen, Paul L. Rosin, Christopher B. Jones, Jo Cable, Sarah E. Perkins. Computer vision for infectious disease surveillance; Saprolegnia spp. in salmonids. Ecological Informatics 2026; 93 doi: 10.1016/j.ecoinf.2025.103567
|
| 75 |
Ting Zhang, Yuling Dai, Wenzhai Cao. A retrospective cohort and machine learning study on the efficacy, safety, and recurrence prediction of combined EI-VOM and linear ablation in persistent Non-valvular atrial fibrillation. Frontiers in Cardiovascular Medicine 2026; 13 doi: 10.3389/fcvm.2026.1689942
|
| 76 |
Maria Iftesum, Gyana Ranjan Sahoo, Elnaz Sheikh, Madhur Srivastava, Sanjit Roy, Hem D. Shukla, Nrusingh C. Biswal, Manas Ranjan Gartia. Machine Learning–Integrated Raman Spectroscopy Identifies Race‐Associated Biochemical Signatures in Prostate Cancer. Journal of Biophotonics 2026; 19(6) doi: 10.1002/jbio.70293
|
| 77 |
Prasanna Mula, V. Malathy, Mohammad Farukh Hashmi, Ravichander Janapati. EmoStack-Net: A Hybrid Feature Learning Framework for EEG-based Emotion Recognition. 2026 7th International Conference on Smart Systems and Inventive Technology (ICSSIT) 2026; doi: 10.1109/ICSSIT69151.2026.11656608
|
| 78 |
Redet Assefa, Adane Mamuye, Marco Piangerelli. COVID-19 Severity Classification Using Hybrid Feature Extraction: Integrating Persistent Homology, Convolutional Neural Networks and Vision Transformers. Big Data and Cognitive Computing 2025; 9(4) doi: 10.3390/bdcc9040083
|
| 79 |
Nicolas Orozco, Andrea Valencia-Orozco, Santiago Ortiz, Juan Carlos Puyana, María Isabel Gutiérrez, Mateo Betancourt-Cajiao, Alberto García-Marín. Interpretable machine learning for predicting trauma in-hospital mortality integrating social and clinical data in a prospective cohort study. International Journal of Surgery Open 2025; 63(4) doi: 10.1097/IO9.0000000000000294
|
| 80 |
Halid Worku Jemil, Sonia Worku Semayneh, Altaseb Beyene Kassaw, Kassahun Dessie Gashu, Olutosin Ademola Otekunrin. Predicting severe stunting and its determinants among under-five in Eastern African Countries: A machine learning algorithms. PLOS One 2026; 21(1) doi: 10.1371/journal.pone.0340221
|
| 81 |
Mesut Uğurlu, İbrahim Alper Doğru. BOSE: A Bayesian-Optimized Stacked Ensemble Framework for Explainable Fine-Grained Industrial IoT Intrusion Detection. Applied Sciences 2026; 16(16) doi: 10.3390/app16167919
|
| 82 |
Tom Velez, Zara Ibrahim, Kanayo Duru, Dante Velez, Maria Triantafyllou, Kenneth McKinley, Pasha Saif, Panagiotis Kratimenos, Andy Clark, Ioannis Koutroulis. Predicting hospital admissions, ICU utilization, and prolonged length of stay among febrile pediatric emergency department patients using incomplete and imbalanced electronic health record (EHR) data strategies. International Journal of Medical Informatics 2025; 200 doi: 10.1016/j.ijmedinf.2025.105905
|
| 83 |
Performance Analysis of Facial Expression Recognition by Using Geometry Augmentation and Random Oversampling for CNN Model. 2024 10th International Conference on Smart Computing and Communication (ICSCC) 2024; doi: 10.1109/ICSCC62041.2024.10690584
|
| 84 |
Min-Yuan Cheng, Quoc-Tuan Vu, Husni Mubarok. Satellite-inspired deep semantic mining for classifying contractual risk clauses. Expert Systems with Applications 2026; 295 doi: 10.1016/j.eswa.2025.128933
|
| 85 |
Aamir Fahira, Muhammad Shahab, Zaheer Ud Din, Xiaoan Li, Xuemin Jian. Machine learning–driven identification of PIM2 kinase inhibitors through QSAR modeling and molecular dynamics simulations. Journal of Genetic Engineering and Biotechnology 2026; 24(3) doi: 10.1016/j.jgeb.2026.100759
|
| 86 |
Lidan Liu, Bo Liu, Huimei Wu, Qiuying Gan, Qianyi Huang, Mujun Li. Optimizing predictive features using machine learning for early miscarriage risk following single vitrified-warmed blastocyst transfer. Frontiers in Endocrinology 2025; 16 doi: 10.3389/fendo.2025.1557667
|
| 87 |
Noraina Hafizan Norman, Marshima Mohd Rosli, Nagham Mohammed Al-Jaf, Norhasmira Mohammad, Mohd Yusmiaidil Putera Mohd Yusof. Automated cervical vertebral maturation staging using deep learning: Enhancing accuracy through random oversampling and memory optimization. APOS Trends in Orthodontics 2025; 16 doi: 10.25259/APOS_322_2024
|
| 88 |
Fozia Khan, Sara Hasan, Abdul Qadar Kara. Credit Card Fraud Detection Using Machine Learning Techniques. 2025 15th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS) 2025; doi: 10.1109/MACS68476.2025.11453386
|
| 89 |
Menaka Thambiraja, Pavinap Priyaa Karthikeyan, Mezya Sezen, Shricharan Senthilkumar, Dheer Singh, Suneel Kumar Onteru, Ragothaman M. Yennamalli. ImmFinder: A Multiomics-Based Neural Network Approach for Predicting the Immune Genes in Livestock. OMICS: A Journal of Integrative Biology 2025; 29(11) doi: 10.1177/15578100251389910
|
| 90 |
Jun Wan, Jia Zhou. Use machine learning to predict bone metastasis of esophageal cancer: A population-based study. DIGITAL HEALTH 2025; 11 doi: 10.1177/20552076251325960
|
| 91 |
Jaemin Jeong, Ji-Hoon Jeong, Gee-Myung Moon, Young-Duk Seo, Euijong Lee. Application of Explainable Artificial Intelligence for personalized childhood weight management using IoT data. Computers in Biology and Medicine 2025; 196 doi: 10.1016/j.compbiomed.2025.110855
|
| 92 |
Andrea Heaney, Emma Murphy, Eugene Hickey. Pervasive Computing Technologies for Healthcare. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2025; 611 doi: 10.1007/978-3-031-85572-6_11
|
| 93 |
Priya B. Thomas, Dale S. Mantey, Emily T. Hébert, Baojiang Chen, Anna V. Wilkinson, Stephanie L. Clendennen, Melissa B. Harrell. Disentangling race and ethnicity in predicting symptoms of depression among young adults: A machine learning approach. Annals of Epidemiology 2026; 118 doi: 10.1016/j.annepidem.2026.110093
|
| 94 |
Pragati Sachdeva, Amarjit Malhotra, Karan Gupta. Quality Data Extractor (QDE): Elevating Synthetic Data Augmentation Through Post-Generation Filtration. IEEE Access 2025; 13 doi: 10.1109/ACCESS.2025.3603435
|
| 95 |
Lauren McBride, Varsha D. Badal, Philip D. Harvey, Amy Pinkham, Ankit Aich, Natalie Parde, Colin Depp. Evaluating natural language processing derived linguistic features associated with current suicidal ideation, past attempts, and future suicidal behavior. Journal of Psychiatric Research 2025; 187 doi: 10.1016/j.jpsychires.2025.05.004
|
| 96 |
Steve Agius, Vincent Cassar, Caroline Magri, Wasiq Khan, Dhiya Al-Jumeily Obe, Godwin Caruana, Luke Topham. Predicting Emergency Severity Index (ESI) level, hospital admission, and admitting ward in an emergency department using data-driven machine learning. BMC Medical Informatics and Decision Making 2025; 25(1) doi: 10.1186/s12911-025-02941-9
|
| 97 |
John E. McMahon, Ashley Craig, Ian D. Cameron. Feigning spectrum behaviour on the Neck Disability Index and Impact of Events Scale in whiplash associated disorder after motor vehicle crashes: a systematic assessment of classification models. BMC Psychology 2025; 13(1) doi: 10.1186/s40359-025-03677-x
|
| 98 |
Hyukjun Lee, Ji Won Han, Seung Wan Suh, Hee Won Yang, Dae Jong Oh, Eunji Lim, Jin Shin, Bong Jo Kim, Dong Woo Lee, Jeong Lan Kim, Jin Hyeong Jhoo, Joon Hyuk Park, Jung Jae Lee, Kyung Phil Kwak, Seok Bum Lee, Seok Woo Moon, Seung-Ho Ryu, Shin Gyeom Kim, Ki Woong Kim. A sleep-based risk model for predicting dementia: Development and validation in a Korean cohort. Journal of Alzheimer’s Disease 2025; 106(1) doi: 10.1177/13872877251340094
|
| 99 |
Blanca Vazquez, Nidiyare Hevia-Montiel, Jorge Perez-Gonzalez, Paulina Haro, Lei Chu. Weighted–VAE: A deep learning approach for multimodal data generation applied to experimental T. cruzi infection. PLOS ONE 2025; 20(3) doi: 10.1371/journal.pone.0315843
|
| 100 |
Mohamed Hussein Yousif, Quanrong Wang, Anurag Tewari, Abara A. Biabak Indrick, Hafizou M. Sow, Yousif Hassan Mohamed Salh, Wakeel Hussain. An Explainable Artificial Intelligence-Driven Framework for Predicting Groundwater Irrigation Suitability in Hard-Rock Aquifers: Moving Beyond Traditional Bivariate Diagnostics. Water 2026; 18(7) doi: 10.3390/w18070854
|
| 101 |
Luu-Ly Tran, Chih-Chieh Chang, Hsiang-An Yu. Considering Cluster Validity in Attribute Extension for Small Data Set Predictions. Journal of Advances in Information Technology 2026; 17(5) doi: 10.12720/jait.17.5.914-928
|
| 102 |
Amine Hade, Mohamed Elhia. Predicting mortgage credit defaults in morocco using machine learning approaches. Discover Artificial Intelligence 2025; 5(1) doi: 10.1007/s44163-025-00303-y
|
| 103 |
Zholdas Buribayev, Ainur Yerkos, Zhibek Zhetpisbay, Markus Wolfien. Noise-Aware Undersampling for imbalanced medical data (NAUS). Informatics in Medicine Unlocked 2026; 60 doi: 10.1016/j.imu.2026.101731
|
| 104 |
Geetha Pratyusha Miriyala, Arun Kumar Sinha. CF-GNN: An Imbalance-Aware Counterfactual Graph Neural Network for ICU Mortality Prediction in Coronary Artery Disease Patients. 2026 IEEE International Conference on AI Engineering and Innovations (AIEI) 2026; doi: 10.1109/AIEI69164.2026.11496809
|
| 105 |
Prabhu Raddy, Arathi Shankar. Novel SliceDetNet: Traffic classification using deep learning and improved SMOTE for efficient 5G slice management. Cluster Computing 2026; 29(8) doi: 10.1007/s10586-026-06297-1
|
| 106 |
ML-Based Detection of Credit Card Fraud Using Synthetic Minority Oversampling. International Journal of Innovations in Science, Engineering And Management 2023; doi: 10.69968/ijisem.2023v2i255-62
|
| 107 |
Seyed Armin Mirhosseini, Ruidong Chang, Hossein Omrany, Yang Zou, Yan Liu. Application of machine learning technologies in predicting severity of heat-related illnesses among construction workers. Smart and Sustainable Built Environment 2026; doi: 10.1108/SASBE-02-2025-0101
|
| 108 |
Boitumelo L. Maxala, Timothy Dube. The New Paradigm of Hydrogeology: A Critical Review of Remote Sensing and AI Approaches for Groundwater Assessment and Monitoring in Sub-Saharan Africa. Remote Sensing Applications: Society and Environment 2026; doi: 10.1016/j.rsase.2026.102226
|
| 109 |
Jipyeong Lee, Hyeonsik Kim, Luke Kim, Leerang Lim, Hyung-Chul Lee, Hyeonhoon Lee. Comparison of large language models and conventional machine learning in postoperative outcome prediction: a retrospective, multi-national development and validation study. Korean Journal of Anesthesiology 2026; 79(3) doi: 10.4097/kja.25646
|
| 110 |
Faris Hassan, Mohanad A. Deif, Alaa Zaghloul, Rania Elgohary, Mohammad Khishe. Explainable stacked-ensemble prediction of ABL1 tyrosine-kinase inhibitor resistance: A metaheuristic-optimized pipeline. Intelligence-Based Medicine 2026; 13 doi: 10.1016/j.ibmed.2025.100341
|
| 111 |
Yaniv S. Ovadia, Natalya Bilenko, Orit Mazza, Naama Fisch-Shvalb, Abigail Paradise Vit, Shani R. Rosen, Yael Avrahami-Benyounes, Ludmila Groisman, Efrat Rorman, Tatiana Ketslakh, Eyal Y. Anteby, Dov Gefel, Simon Shenhav. A prediction model for childhood obesity risk based on maternal thyroid status and related parameters using machine learning: a mother–newborn–offspring study in a mild-to-moderate iodine deficiency area. International Journal of Obesity 2026; 50(4) doi: 10.1038/s41366-025-01988-y
|
| 112 |
Qingfeng Sun, Kai Zhang, Yuanlong Xu, Mengmei Luo, Zhouzhou Yang, Qianyu Liu, Sang Liu, Aimei Liu. Explainable machine learning for predicting clinical outcomes in HIV/TB co-infection: a comparative retrospective study. BMC Infectious Diseases 2025; 25(1) doi: 10.1186/s12879-025-11998-w
|
| 113 |
Nitin Kumar Jharbade, Harsh Mathur. Handling Class Imbalance in Diabetic Readmission Prediction Using SMOTified-GAN and Guided Neural Networks. 2026 International Conference on Emerging Trends in Information, Communication & Systems (ICETICS) 2026; doi: 10.1109/ICETICS69505.2026.11651197
|
| 114 |
Manuel Sigle, Wenke Faller, Diana Heurich, Monika Zdanyte, Robert Wunderlich, Meinrad Gawaz, Karin Anne Lydia Müller, Andreas Goldschmied. Machine learning predicts emergency physician specialties from treatment strategies for patients suspected of myocardial infarction. International Journal of Cardiology 2024; 413 doi: 10.1016/j.ijcard.2024.132332
|
| 115 |
Michael Peng, Elisheva R. Stern, Hanwen Hu. Forecasting China bond default with severe class-imbalanced data: A simple learning model with causal inference. Economic Modelling 2025; 144 doi: 10.1016/j.econmod.2024.106985
|