Achieving Value by Risk Stratification With Machine Learning Model or Clinical Risk Score in Acute Upper Gastrointestinal Bleeding: A Cost Minimization Analysis.

Shung, Dennis L; Lin, John K; Laine, Loren

Shung, Dennis L; Lin, John K; Laine, Loren.

Affiliation

Shung DL; Section of Digestive Diseases, Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Lin JK; Division of Cancer Prevention and Population Sciences, Department of Health Services Research, University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA.
Laine L; Section of Digestive Diseases, Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA.

Am J Gastroenterol ; 119(2): 371-373, 2024 Feb 01.

Article in En | MEDLINE | ID: mdl-37753930

Subject(s)

Gastrointestinal Hemorrhage; Machine Learning; Humans; Gastrointestinal Hemorrhage/diagnosis; Gastrointestinal Hemorrhage/therapy; Risk Factors; Risk Assessment; Costs and Cost Analysis; Acute Disease; Severity of Illness Index

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Machine Learning / Gastrointestinal Hemorrhage Type of study: Etiology_studies / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Am J Gastroenterol Year: 2024 Type: Article Affiliation country: United States

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