Machine Learning for Clinical Outcome Prediction (original) (raw)
Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality
Brian Cozzi
2019
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Training machine learning models to predict 30-day mortality in patients discharged from the emergency department: a retrospective, population-based registry study
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AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning
Eoin McKinney
arXiv (Cornell University), 2022
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PLOS ONE
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Jay Widmer
JACC: Cardiovascular Interventions, 2019
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Risk prediction of clinical adverse outcomes with machine learning in a cohort of critically ill patients with atrial fibrillation
Cinzia Nitti
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Predicting Adverse Outcomes in End Stage Renal Disease: Machine Learning Applied to the United States Renal Data System
Zeid Khitan
Marshall Journal of Medicine, 2018
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Machine learning prediction of mortality in Acute Myocardial Infarction
Joana Seringa
BMC Medical Informatics and Decision Making
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Milena Gianfrancesco
JAMA Internal Medicine, 2018
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Anthony Sena
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Health Informatics Journal, 2019
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Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction
Collin Stultz
arXiv (Cornell University), 2021
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Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records
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Mawada Elmahgoub
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In-hospital mortality, readmission, and prolonged length of stay risk prediction leveraging historical electronic patient records
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