Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding

BACKGROUND & AIMS: Scoring systems are suboptimal for determining risk in patients with gastrointestinal bleeding (UGIB); these might be improved by a machine learning model. We used machine learning to develop a model to calculate risk of hospital-based intervention or death in patients with UG...

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Bibliografiske detaljer
Udgivet i:Gastroenterology
Main Authors: Shung, Dennis L., Au, Benjamin, Taylor, Richard Andrew, Tay, J. Kenneth, Laursen, Stig B, Stanley, Adrian J, Dalton, Harry R., Ngu, Jeffrey, Schultz, Michael, Laine, Loren
Format: Artigo
Sprog:Inglês
Udgivet: 2019
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Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7004228/
https://ncbi.nlm.nih.gov/pubmed/31562847
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1053/j.gastro.2019.09.009
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