Predicting the incidence of infectious diarrhea with symptom surveillance data using a stacking-based ensembled model.

Journal: BMC infectious diseases
PMID: 38408967

Abstract

BACKGROUND: Infectious diarrhea remains a major public health problem worldwide. This study used stacking ensemble to developed a predictive model for the incidence of infectious diarrhea, aiming to achieve better prediction performance.

Authors

  • Pengyu Wang
    School of Economics, Ocean University of China, Qingdao 266100, China. wangpengyu@stu.ouc.edu.cn.
  • Wangjian Zhang
    Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Rensselaer 12144, USA.
  • Hui Wang
    Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Congxing Shi
    Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
  • Zhiqiang Li
    The Affiliated Hospital of Qingdao University, The Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, 266003, China.
  • Dahu Wang
    Department of Infectious Disease Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou, China.
  • Lei Luo
  • Zhicheng Du
    Department of Medical Statistics and Epidemiology & Health Information Research Center & Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
  • Yuantao Hao
    Department of Medical Statistics and Epidemiology & Health Information Research Center & Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.

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