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Open Access
Peer-reviewed
Research Article
Use of machine learning tools to predict health risks from climate-sensitive extreme weather events: A scoping review
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Shakirah N. Ssebyala ,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: sns4002@med.cornell.edu (SNS); akg9010@med.cornell.edu (AKG)
Affiliation Weill Cornell Medical College, New York, New York, United States of America
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Timothy M. Kintu,
Roles Formal analysis, Writing – review & editing
Affiliation Department of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda
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David J. Muganzi,
Roles Formal analysis, Writing – review & editing
Affiliation Department of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda
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Caleb Dresser,
Roles Formal analysis, Writing – review & editing
Affiliation Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
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Michelle R. Demetres,
Roles Data curation, Formal analysis, Methodology, Software, Writing – review & editing
Affiliation Samuel J. Wood Library & C.V. Starr Biomedical Information Center, Weill Cornell Medicine, New York, New York, United States of America
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Yuan Lai,
Roles Formal analysis, Writing – review & editing
Affiliation Department of Urban Planning, Tsinghua University, Beijing, China
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Kobusingye Mercy,
Roles Formal analysis, Writing – review & editing
Affiliation Department of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda
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Chenyu Li,
Roles Formal analysis, Writing – review & editing
Affiliation Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America
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Fei Wang,
Roles Writing – review & editing
Affiliations Department of Population Health Sciences, Weill Cornell Medicine, New York City, New York, United States of America, Institute of AI for Digital Health, Weill Cornell Medicine, New York, New York, United States of America
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Soko Setoguchi,
Roles Writing – review & editing
Affiliation Department of Medicine, Rutgers Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, United States of America
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Leo Anthony Celi,
Roles Writing – review & editing
Affiliations Department of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America, Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America, Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
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Arnab K. Ghosh
Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: sns4002@med.cornell.edu (SNS); akg9010@med.cornell.edu (AKG)
Affiliations Weill Cornell Medical College, New York, New York, United States of America, Department of Medicine, Weill Cornell Medicine, New York, New York, United States of America
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Use of machine learning tools to predict health risks from climate-sensitive extreme weather events: A scoping review
- Shakirah N. Ssebyala,
- Timothy M. Kintu,
- David J. Muganzi,
- Caleb Dresser,
- Michelle R. Demetres,
- Yuan Lai,
- Kobusingye Mercy,
- Chenyu Li,
- Fei Wang,
- Soko Setoguchi
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- Published: January 17, 2024
- https://doi.org/10.1371/journal.pclm.0000338