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Open Access
Peer-reviewed
Research Article
Utility of machine learning in developing a predictive model for early-age-onset colorectal neoplasia using electronic health records
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Hisham Hussan ,
Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing
* E-mail: Hisham.hussan@osumc.edu
Affiliations Division of Gastroenterology, Hepatology, and Nutrition, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, United States of America, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, United States of America
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Jing Zhao,
Roles Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing
Affiliation Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America
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Abraham K. Badu-Tawiah,
Roles Writing – original draft, Writing – review & editing
Affiliations Division of Gastroenterology, Hepatology, and Nutrition, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, United States of America, Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, United States of America, Department of Microbial Infection and Immunity, The Ohio State University, Columbus, Ohio, United States of America
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Peter Stanich,
Roles Writing – original draft, Writing – review & editing
Affiliation Division of Gastroenterology, Hepatology, and Nutrition, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, United States of America
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Fred Tabung,
Roles Methodology, Writing – original draft, Writing – review & editing
Affiliations Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, United States of America, Division of Medical Oncology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America
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Darrell Gray,
Roles Funding acquisition, Writing – original draft, Writing – review & editing
Affiliations Division of Gastroenterology, Hepatology, and Nutrition, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, United States of America, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, United States of America
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Qin Ma,
Roles Methodology, Writing – original draft, Writing – review & editing
Affiliation Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America
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Matthew Kalady,
Roles Writing – original draft, Writing – review & editing
Affiliations Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, United States of America, Division of Colon and Rectal Surgery, Department of Surgery, The Ohio State University, Columbus, Ohio, United States of America
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Steven K. Clinton
Roles Methodology, Writing – original draft, Writing – review & editing
Affiliations Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, United States of America, Division of Medical Oncology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America
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Utility of machine learning in developing a predictive model for early-age-onset colorectal neoplasia using electronic health records
- Hisham Hussan,
- Jing Zhao,
- Abraham K. Badu-Tawiah,
- Peter Stanich,
- Fred Tabung,
- Darrell Gray,
- Qin Ma,
- Matthew Kalady,
- Steven K. Clinton
- Published: March 10, 2022
- https://doi.org/10.1371/journal.pone.0265209