For: | Charilaou P, Battat R. Machine learning models and over-fitting considerations. World J Gastroenterol 2022; 28(5): 605-607 [PMID: 35316964 DOI: 10.3748/wjg.v28.i5.605] |
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URL: | https://www.wjgnet.com/1007-9327/full/v28/i5/605.htm |
Number | Citing Articles |
1 |
Ruth Salim, Simon Husby, Christian Winther Eskelund, David W. Scott, Harald Holte, Arne Kolstad, Riikka Räty, Sara Ek, Mats Jerkeman, Christian Geisler, Lasse Sommer Kristensen, Mette Dahl, Kirsten Grønbæk. Exploring new prognostic biomarkers in Mantle Cell Lymphoma: a comparison of the circSCORE and the MCL35 score. Leukemia & Lymphoma 2023; 64(8): 1414 doi: 10.1080/10428194.2023.2216819
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2 |
Eric McMullen, Dharmayu Desai, Yousif Al-Naser, Jeff Donovan. Applications of Machine Learning on Alopecia Areata: A Systematic Review. Journal of Cutaneous Medicine and Surgery 2024; doi: 10.1177/12034754241238503
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3 |
Yanan Gu, Ruyi Cao, Dong Wang, Bibo Lu. CMP-UNet: A Retinal Vessel Segmentation Network Based on Multi-Scale Feature Fusion. Electronics 2023; 12(23): 4743 doi: 10.3390/electronics12234743
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4 |
Milad Hosseinpour, Mohammad Javad Shojaei, Mohsen Salimi, Majid Amidpour. Machine learning in absorption-based post-combustion carbon capture systems: A state-of-the-art review. Fuel 2023; 353: 129265 doi: 10.1016/j.fuel.2023.129265
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5 |
Marc Emmenegger, Vishalini Emmenegger, Srikanth Mairpady Shambat, Thomas C. Scheier, Alejandro Gomez-Mejia, Chun-Chi Chang, Pedro D. Wendel-Garcia, Philipp K. Buehler, Thomas Buettner, Dirk Roggenbuck, Silvio D. Brugger, Katrin B.M. Frauenknecht. Antiphospholipid antibodies are enriched post-acute COVID-19 but do not modulate the thrombotic risk. Clinical Immunology 2023; 257: 109845 doi: 10.1016/j.clim.2023.109845
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6 |
Pradeep Kumar Hanumegowda, Sakthivel Gnanasekaran. Prediction of Work-Related Risk Factors among Bus Drivers Using Machine Learning. International Journal of Environmental Research and Public Health 2022; 19(22): 15179 doi: 10.3390/ijerph192215179
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7 |
Pierluigi Castelli, Andrea De Ruvo, Andrea Bucciacchio, Nicola D’Alterio, Cesare Cammà, Adriano Di Pasquale, Nicolas Radomski. Harmonization of supervised machine learning practices for efficient source attribution of Listeria monocytogenes based on genomic data. BMC Genomics 2023; 24(1) doi: 10.1186/s12864-023-09667-w
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8 |
Xiaodong Zang, Liandong Feng, Wengang Qin, Weilin Wang, Xiaowei Zang. Using machine learning methods to analyze the association between urinary polycyclic aromatic hydrocarbons and chronic bowel disorders in American adults. Chemosphere 2024; 346: 140602 doi: 10.1016/j.chemosphere.2023.140602
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9 |
Johannes Haubold, René Hosch, Gregor Jost, Felix Kreis, Michael Forsting, Hubertus Pietsch, Felix Nensa. AI as a New Frontier in Contrast Media Research. Investigative Radiology 2024; 59(2): 206 doi: 10.1097/RLI.0000000000001028
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10 |
Anand Kumar Pandey, Shalja Verma. Radiomics and Radiogenomics in Neuro-Oncology. 2024; : 211 doi: 10.1016/B978-0-443-18508-3.00005-X
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11 |
Chenyi Zhao, Jie Zhao, Wenlei Wang, Changjiang Yuan, Jie Tang. A novel hybrid ensemble model for mineral prospectivity prediction: A case study in the Malipo W-Sn mineral district, Yunnan Province, China. Ore Geology Reviews 2024; 168: 106001 doi: 10.1016/j.oregeorev.2024.106001
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12 |
Abdelhady Omar, Atefeh Delnaz, Mazdak Nik-Bakht. Comparative analysis of machine learning techniques for predicting water main failures in the City of Kitchener. Journal of Infrastructure Intelligence and Resilience 2023; 2(3): 100044 doi: 10.1016/j.iintel.2023.100044
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13 |
Eric McMullen, Yousif Al-Naser, Jonathan Chung, Jensen Yeung. Machine Learning Applications in Psoriasis Treatment: A Systematic Review. Journal of Cutaneous Medicine and Surgery 2024; doi: 10.1177/12034754241238482
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14 |
Emilio Vello, Megan Letourneau, John Aguirre, Thomas E. Bureau. Integrated web portal for non-destructive salt sensitivity detection of Camelina sativa seeds using fluorescent and visible light images coupled with machine learning algorithms. Frontiers in Plant Science 2024; 14 doi: 10.3389/fpls.2023.1303429
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15 |
Michal Pruski. What does it mean for a clinical AI to be just: conflicts between local fairness and being fit-for-purpose?. Journal of Medical Ethics 2024; : jme-2023-109675 doi: 10.1136/jme-2023-109675
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16 |
Chaitanya Baliram Pande, Johnbosco C. Egbueri, Romulus Costache, Lariyah Mohd Sidek, Qingzheng Wang, Fahad Alshehri, Norashidah Md Din, Vinay Kumar Gautam, Subodh Chandra Pal. Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development. Journal of Cleaner Production 2024; 444: 141035 doi: 10.1016/j.jclepro.2024.141035
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17 |
Miroslav Stojadinovic, Bogdan Milicevic, Slobodan Jankovic. Enhanced PSA Density Prediction Accuracy When Based on Machine Learning. Journal of Medical and Biological Engineering 2023; 43(3): 249 doi: 10.1007/s40846-023-00793-0
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18 |
Yingwen Wu, Yangjian Ji. Identifying firm-specific technology opportunities from the perspective of competitors by using association rule mining. Journal of Informetrics 2023; 17(2): 101398 doi: 10.1016/j.joi.2023.101398
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19 |
Jan-Mou Lee, Yi-Ping Hung, Kai-Yuan Chou, Cheng-Yun Lee, Shian-Ren Lin, Ya-Han Tsai, Wan-Yu Lai, Yu-Yun Shao, Chiun Hsu, Chih-Hung Hsu, Yee Chao. Artificial intelligence-based immunoprofiling serves as a potentially predictive biomarker of nivolumab treatment for advanced hepatocellular carcinoma. Frontiers in Medicine 2022; 9 doi: 10.3389/fmed.2022.1008855
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20 |
Yiheng Shi, Haohan Fan, Li Li, Yaqi Hou, Feifei Qian, Mengting Zhuang, Bei Miao, Sujuan Fei. The value of machine learning approaches in the diagnosis of early gastric cancer: a systematic review and meta-analysis. World Journal of Surgical Oncology 2024; 22(1) doi: 10.1186/s12957-024-03321-9
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21 |
Wentao Zhang, Wenguang Huang, Jie Tan, Dawei Huang, Jun Ma, Bingdang Wu. Modeling, optimization and understanding of adsorption process for pollutant removal via machine learning: Recent progress and future perspectives. Chemosphere 2023; 311: 137044 doi: 10.1016/j.chemosphere.2022.137044
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22 |
Jovitha Wilson, Seyed Ebrahim Hosseini, Shahbaz Pervez. Identification of Fake News in Social Media Using Sentimental Analysis. 2023 IEEE Industrial Electronics and Applications Conference (IEACon) 2023; : 220 doi: 10.1109/IEACon57683.2023.10370300
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23 |
Nipun Verma, Arka De, Ajay Duseja. Editorial: Using machine learning to predict significant fibrosis in metabolic dysfunction‐associated steatotic liver disease—authors' reply. Alimentary Pharmacology & Therapeutics 2024; 59(7): 896 doi: 10.1111/apt.17913
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24 |
Shaodong Zheng, Lin Jing, Kai Liu, Zhenhao Yu, Zhao Tang, Kaiyun Wang. Crash energy management optimization of high-speed trains by machine learning methods. International Journal of Mechanical Sciences 2024; 270: 109108 doi: 10.1016/j.ijmecsci.2024.109108
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25 |
Alvaro Ras-Carmona, Alexander A. Lehmann, Paul V. Lehmann, Pedro A. Reche. Prediction of B cell epitopes in proteins using a novel sequence similarity-based method. Scientific Reports 2022; 12(1) doi: 10.1038/s41598-022-18021-1
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26 |
Rui Huang, Shuangcheng Ma, Shengyun Dai, Jian Zheng. Application of Data Fusion in Traditional Chinese Medicine: A Review. Sensors 2023; 24(1): 106 doi: 10.3390/s24010106
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27 |
Arihant Singh, Vivek R Velagala, Tanishq Kumar, Rajoshee R Dutta, Tushar Sontakke. The Application of Deep Learning to Electroencephalograms, Magnetic Resonance Imaging, and Implants for the Detection of Epileptic Seizures: A Narrative Review. Cureus 2023; doi: 10.7759/cureus.42460
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28 |
Ben Li, Badr Aljabri, Raj Verma, Derek Beaton, Naomi Eisenberg, Douglas S. Lee, Duminda N. Wijeysundera, Thomas L. Forbes, Ori D. Rotstein, Charles de Mestral, Muhammad Mamdani, Graham Roche-Nagle, Mohammed Al-Omran. Using machine learning to predict outcomes following open abdominal aortic aneurysm repair. Journal of Vascular Surgery 2023; 78(6): 1426 doi: 10.1016/j.jvs.2023.08.121
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29 |
Matthew I. Miller, Ludy C. Shih, Vijaya B. Kolachalama. Machine Learning in Clinical Trials: A Primer with Applications to Neurology. Neurotherapeutics 2023; 20(4): 1066 doi: 10.1007/s13311-023-01384-2
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30 |
Zaid Alhulaybi, Muhammad Martuza, Sayeed Rushd. Modeling the Mechanical Properties of a Polymer-Based Mixed-Matrix Membrane Using Deep Learning
Neural Networks. ChemEngineering 2023; 7(5): 80 doi: 10.3390/chemengineering7050080
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31 |
Ibrahem Albalkhi, Aashim Bhatia, Nico Lösch, Robert Goetti, Kshitij Mankad. Current state of radiomics in pediatric neuro-oncology practice: a systematic review. Pediatric Radiology 2023; 53(10): 2079 doi: 10.1007/s00247-023-05679-6
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32 |
Abdul Majed Sajib, Mir Talas Mahammad Diganta, Md. Moniruzzaman, Azizur Rahman, Tomasz Dabrowski, Md Galal Uddin, Agnieszka I. Olbert. Assessing water quality of an ecologically critical urban canal incorporating machine learning approaches. Ecological Informatics 2024; 80: 102514 doi: 10.1016/j.ecoinf.2024.102514
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33 |
Laily Azyan Ramlan, Wan Mimi Diyana Wan Zaki, Haliza Abdul Mutalib, Aini Hussain, Aouache Mustapha. Cataract Detection using Pupil Patch Classification and Ruled-based System in Anterior Segment Photographed Images. 2023 IEEE 13th Symposium on Computer Applications & Industrial Electronics (ISCAIE) 2023; : 124 doi: 10.1109/ISCAIE57739.2023.10165004
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34 |
Lhoussaine El Mezouary, Abdessamad Hadri, Mohamed Hakim Kharrou, Younes Fakır, Abderrahman Elfarchouni, Lhoussaine Bouchaou, Abdelghani Chehbouni. Contribution to advancing aquifer geometric mapping using machine learning and deep learning techniques: a case study of the AL Haouz-Mejjate aquifer, Marrakech, Morocco. Applied Water Science 2024; 14(5) doi: 10.1007/s13201-024-02162-x
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35 |
Yao Yao, Chuanliang Jia, Haicheng Zhang, Yakui Mou, Cai Wang, Xiao Han, Pengyi Yu, Ning Mao, Xicheng Song. Applying a nomogram based on preoperative CT to predict early recurrence of laryngeal squamous cell carcinoma after surgery. Journal of X-Ray Science and Technology 2023; 31(3): 435 doi: 10.3233/XST-221320
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