Using machine learning to model older adult inpatient trajectories from electronic health records data

Using machine learning to model older adult inpatient trajectories from electronic health records data

Summary: Electronic Health Records (EHR) data can provide novel insights into inpatient trajectories. Blood tests and vital signs from de-identified patients’ hospital admission episodes (AE) were represented as multivariate time-series (MVTS) to train unsupervised Hidden Markov Models (HMM) and rep...

Full description

Bibliographic Details
Main Authors: Maria Herrero-Zazo, Tomas Fitzgerald, Vince Taylor, Helen Street, Afzal N. Chaudhry, John R. Bradley, Ewan Birney, Victoria L. Keevil
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:iScience
Subjects:
Health technology
Diagnostic technique in health technology
Applied computing in medical science
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004222021496

Internet

http://www.sciencedirect.com/science/article/pii/S2589004222021496

Similar Items