Using machine learning methods to predict all-cause somatic hospitalizations in adults: A systematic review.

Journal: PloS one

Published Date: Aug 23, 2024

Abstract

AIM: In this review, we investigated how Machine Learning (ML) was utilized to predict all-cause somatic hospital admissions and readmissions in adults.

Authors

Mohsen Askar

Faculty of Health Sciences, Department of Pharmacy, UiT-The Arctic University of Norway, Tromsø, Norway.
Masoud Tafavvoghi

Faculty of Science and Technology, Department of Computer Science, UiT-The Arctic University of Norway, Tromsø, Norway.
Lars Småbrekke

Faculty of Health Sciences, Department of Pharmacy, UiT-The Arctic University of Norway, Tromsø, Norway.
Lars Ailo Bongo

Department of Computer Science, UiT The Arctic University of Norway, Tromsø, Norway.
Kristian Svendsen

Faculty of Health Sciences, Department of Pharmacy, UiT-The Arctic University of Norway, Tromsø, Norway.

Keywords

Adult Algorithms Hospitalization Humans Machine Learning Natural Language Processing Patient Readmission ROC Curve

External Resources

View on PubMed Access via DOI PubMed (39178283)

Using machine learning methods to predict all-cause somatic hospitalizations in adults: A systematic review.

Abstract

Authors

Keywords

External Resources

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