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Cited by in CrossRef
For: Chen MJ, Yang PH, Hsieh MT, Yeh CH, Huang CH, Yang CM, Lin GM. Machine learning to relate PM2.5 and PM10 concentrations to outpatient visits for upper respiratory tract infections in Taiwan: A nationwide analysis. World J Clin Cases 2018; 6(8): 200-206 [PMID: 30148148 DOI: 10.12998/wjcc.v6.i8.200]
URL: https://www.wjgnet.com/2307-8960/full/v6/i8/200.htm
Number Citing Articles
1
Yi He, Wanyanhan Jiang, Xi Gao, Chengwei Lin, Jia Li, Lian Yang. Short-term effects and economic burden of air pollutants on acute lower respiratory tract infections in children in Southwest China: a time-series studyEnvironmental Health 2023; 22(1) doi: 10.1186/s12940-023-00962-3
2
Daitao Zhang, Yaohua Tian, Yi Zhang, Yaying Cao, Quanyi Wang, Yonghua Hu. Fine Particulate Air Pollution and Hospital Utilization for Upper Respiratory Tract Infections in Beijing, ChinaInternational Journal of Environmental Research and Public Health 2019; 16(4): 533 doi: 10.3390/ijerph16040533
3
Ruirui Liang, Yi Lu, Xiaosheng Qu, Qiang Su, Chunxia Li, Sijing Xia, Yongxin Liu, Qiang Zhang, Xin Cao, Qin Chen, Bing Niu. Prediction for global African swine fever outbreaks based on a combination of random forest algorithms and meteorological dataTransboundary and Emerging Diseases 2020; 67(2): 935 doi: 10.1111/tbed.13424
4
Gen-Min Lin, Kiang Liu. An Electrocardiographic System With Anthropometrics via Machine Learning to Screen Left Ventricular Hypertrophy among Young AdultsIEEE Journal of Translational Engineering in Health and Medicine 2020; 8: 1 doi: 10.1109/JTEHM.2020.2990073
5
Gen-Min Lin, Henry Horng-Shing Lu. Electrocardiographic Machine Learning to Predict Left Ventricular Diastolic Dysfunction in Asian Young Male AdultsIEEE Access 2021; 9: 49047 doi: 10.1109/ACCESS.2021.3069232
6
Sing-Ling Jhuo, Mi -Tren Hsieh, Ting-Chien Weng, Mei-Juan Chen, Chieh-Ming Yang, Chia-Hung Yeh. Trend Prediction of Influenza and the Associated Pneumonia in Taiwan Using Machine Learning2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) 2019; : 1 doi: 10.1109/ISPACS48206.2019.8986244
7
Gen-Min Lin, Henry Horng-Shing Lu. A 12-Lead ECG-Based System With Physiological Parameters and Machine Learning to Identify Right Ventricular Hypertrophy in Young AdultsIEEE Journal of Translational Engineering in Health and Medicine 2020; 8: 1 doi: 10.1109/JTEHM.2020.2996370
8
Chu-Yu Hsu, Pang-Yen Liu, Shu-Hsin Liu, Younghoon Kwon, Carl J. Lavie, Gen-Min Lin. Machine Learning for Electrocardiographic Features to Identify Left Atrial Enlargement in Young Adults: CHIEF Heart StudyFrontiers in Cardiovascular Medicine 2022; 9 doi: 10.3389/fcvm.2022.840585
9
Yijing Feng, Edgar Castro, Yaguang Wei, Tingfan Jin, Xinye Qiu, Francesca Dominici, Joel Schwartz. Long-term exposure to ambient PM2.5, particulate constituents and hospital admissions from non-respiratory infectionNature Communications 2024; 15(1) doi: 10.1038/s41467-024-45776-0
10
Shaon Hossain Sani, Akramkhan Rony, Fyruz Ibnat Karim, M. F. Mridha, Md. Abdul Hamid. International Conference on Innovative Computing and CommunicationsAdvances in Intelligent Systems and Computing 2021; 1166: 771 doi: 10.1007/978-981-15-5148-2_67
11
Jue Tao Lim, Kelvin Bryan Tan, John Abisheganaden, Borame L. Dickens, Virginia E. Pitzer. Forecasting upper respiratory tract infection burden using high-dimensional time series data and forecast combinationsPLOS Computational Biology 2023; 19(2): e1010892 doi: 10.1371/journal.pcbi.1010892
12
Amitesh Gupta, Md Moniruzzaman, Avinash Hande, Iman Rousta, Haraldur Olafsson, Karno Kumar Mondal. Estimation of particulate matter (PM2.5, PM10) concentration and its variation over urban sites in BangladeshSN Applied Sciences 2020; 2(12) doi: 10.1007/s42452-020-03829-1
13
Farooq Usman, Bahadar Zeb, Khan Alam, Mohammad Valipour, Allah Ditta, Armin Sorooshian, Rana Roy, Iftikhar Ahmad, Rashid Iqbal. Exploring the Mass Concentration of Particulate Matter and Its Relationship with Meteorological Parameters in the Hindu-Kush RangeAtmosphere 2022; 13(10): 1628 doi: 10.3390/atmos13101628
14
Yan Liu, Yangyang Geng, Liuqing Yang, Shate Xiang, Qiaotong Wang, Lanyawen Hu, Ping Ye. Traditional Chinese Medicine Constitution and Clinical Data Association with Machine Learning for Prediction of Spontaneous AbortionClinical Complementary Medicine and Pharmacology 2022; 2(2): 100016 doi: 10.1016/j.ccmp.2021.100016
15
Bahram Choubin, Mahsa Abdolshahnejad, Ehsan Moradi, Xavier Querol, Amir Mosavi, Shahaboddin Shamshirband, Pedram Ghamisi. Spatial hazard assessment of the PM10 using machine learning models in Barcelona, SpainScience of The Total Environment 2020; 701: 134474 doi: 10.1016/j.scitotenv.2019.134474
16
Gen-Min Lin, Huan-Chang Zeng. Electrocardiographic Machine Learning to Predict Mitral Valve Prolapse in Young AdultsIEEE Access 2021; 9: 103132 doi: 10.1109/ACCESS.2021.3098039
17
Disha Shah, Bhavarth Dave, Mehul R. Chorawala, Bhupendra G. Prajapati, Sudarshan Singh, Gehan M. Elossaily, Mohd Nazam Ansari, Nemat Ali. An Insight on Microfluidic Organ-on-a-Chip Models for PM2.5-Induced Pulmonary ComplicationsACS Omega 2024; 9(12): 13534 doi: 10.1021/acsomega.3c10271
18
Chia-Ju Ellen Chi, Daniel Zinsmeister, I-Ling Lai, Shih-Chieh Chang, Yau-Lun Kuo, Jürgen Burkhardt. Aerosol Impacts on Water Relations of Camphor (Cinnamomum camphora)Frontiers in Plant Science 2022; 13 doi: 10.3389/fpls.2022.892096
19
Alaa Mhawish, Tirthankar Banerjee, Meytar Sorek-Hamer, Muhammad Bilal, Alexei I. Lyapustin, Robert Chatfield, David M. Broday. Estimation of High-Resolution PM2.5 over the Indo-Gangetic Plain by Fusion of Satellite Data, Meteorology, and Land Use VariablesEnvironmental Science & Technology 2020; 54(13): 7891 doi: 10.1021/acs.est.0c01769
20
Daniel P. Croft, Mark J. Utell, Han Liu, Shao Lin, Philip K. Hopke, Sally W. Thurston, Yunle Chen, David Q. Rich. Change in rate of healthcare encounters for respiratory infection from air pollution exposure after improved vehicle emissions standards in New York StateAir Quality, Atmosphere & Health 2024;  doi: 10.1007/s11869-024-01505-6
21
Hao Zhou, Tianqi Wang, Fang Zhou, Ye Liu, Weiqing Zhao, Xike Wang, Heng Chen, Yuxia Cui. Ambient Air Pollution and Daily Hospital Admissions for Respiratory Disease in Children in Guiyang, ChinaFrontiers in Pediatrics 2019; 7 doi: 10.3389/fped.2019.00400
22
Gen-Min Lin, Masanori Nagamine, Szu-Nian Yang, Yueh-Ming Tai, Chin Lin, Hiroshi Sato. Machine Learning Based Suicide Ideation Prediction for Military PersonnelIEEE Journal of Biomedical and Health Informatics 2020; 24(7): 1907 doi: 10.1109/JBHI.2020.2988393
23
Bing Niu, Ruirui Liang, Guangya Zhou, Qiang Zhang, Qiang Su, Xiaosheng Qu, Qin Chen. Prediction for Global Peste des Petits Ruminants Outbreaks Based on a Combination of Random Forest Algorithms and Meteorological DataFrontiers in Veterinary Science 2021; 7 doi: 10.3389/fvets.2020.570829