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Comparison of predicting cardiovascular disease hospitalization using individual, ZIP code-derived, and machine learning model-predicted educational attainment in New York City
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Kullaya Takkavatakarn,
Roles Conceptualization, Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing
Affiliations Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America, Division of Nephrology, Department of Medicine, King Chulalongkorn Memorial Hospital, Chulalongkorn University, Bangkok, Thailand
⨯ - Yang Dai,
- Huei Hsun Wen,
- Justin Kauffman,
- Alexander Charney,
- Steven G. Coca,
- Girish N. Nadkarni,
- Lili Chan
https://orcid.org/0000-0002-6236-8893
Comparison of predicting cardiovascular disease hospitalization using individual, ZIP code-derived, and machine learning model-predicted educational attainment in New York City
- Kullaya Takkavatakarn,
- Yang Dai,
- Huei Hsun Wen,
- Justin Kauffman,
- Alexander Charney,
- Steven G. Coca,
- Girish N. Nadkarni,
- Lili Chan
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- Published: February 8, 2024
- https://doi.org/10.1371/journal.pone.0297919