A Comparison of Machine Learning Methods and Conventional Logistic Regression for the Prediction of In-Hospital Mortality in Acute Biliary Pancreatitis.

Luthra, Anjuli K; Porter, Kyle; Hinton, Alice; Chao, Wei-Lun; Papachristou, Georgios I; Conwell, Darwin L; Krishna, Somashekar G

Luthra, Anjuli K; Porter, Kyle; Hinton, Alice; Chao, Wei-Lun; Papachristou, Georgios I; Conwell, Darwin L; Krishna, Somashekar G.

Afiliación

Luthra AK; From the Division of Gastroenterology, Hepatology, and Nutrition, The Ohio State University Wexner Medical Center.
Porter K; Center for Biostatistics, Department of Biomedical Informatics, College of Medicine.
Hinton A; Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH.
Chao WL; Department of Computer Science and Engineering, The Ohio State University, Columbus, OH.
Papachristou GI; From the Division of Gastroenterology, Hepatology, and Nutrition, The Ohio State University Wexner Medical Center.
Conwell DL; From the Division of Gastroenterology, Hepatology, and Nutrition, The Ohio State University Wexner Medical Center.
Krishna SG; From the Division of Gastroenterology, Hepatology, and Nutrition, The Ohio State University Wexner Medical Center.

Pancreas ; 51(10): 1292-1299, 2022.

Article en En | MEDLINE | ID: mdl-37099769

Asunto(s)

Pancreatitis; Adolescente; Humanos; Enfermedad Aguda; Mortalidad Hospitalaria; Modelos Logísticos; Aprendizaje Automático; Pancreatitis/epidemiología; Estudios Retrospectivos

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pancreatitis Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Humans Idioma: En Revista: Pancreas Asunto de la revista: GASTROENTEROLOGIA Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos

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