Prediction and diagnosis of chronic kidney disease development and progression using machine-learning: Protocol for a systematic review and meta-analysis of reporting standards and model performance

• Fangyue Chen,

  Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing

  Affiliations Global Health Partnerships, Health Education England, London, United Kingdom, School of Public Health, Faculty of Medicine, Imperial College London, London, United Kingdom, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand

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• Piyawat Kantagowit,

  Roles Conceptualization, Methodology, Writing – review & editing

  Affiliation Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand

  https://orcid.org/0000-0002-7890-8356

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• Tanawin Nopsopon,

  Roles Conceptualization, Methodology, Writing – review & editing

  Affiliations Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America

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• Arisa Chuklin,

  Roles Conceptualization, Methodology, Writing – original draft

  Affiliation Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand

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• Krit Pongpirul

  Roles Conceptualization, Methodology, Supervision, Writing – review & editing

  * E-mail: krit.po@chula.ac.th, doctorkrit@gmail.com

  Affiliations Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America, Clinical Research Center, Bumrungrad International Hospital, Bangkok, Thailand

  https://orcid.org/0000-0003-3818-9761

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