Prediction of Hospital Readmission from Longitudinal Mobile Data Streams

Prediction of Hospital Readmission from Longitudinal Mobile Data Streams

Hospital readmissions impose an extreme burden on both health systems and patients. Timely management of the postoperative complications that result in readmissions is necessary to mitigate the effects of these events. However, accurately predicting readmissions is very challenging, and current appr...

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Bibliographic Details
Main Authors: Chen Qian, Patraporn Leelaprachakul, Matthew Landers, Carissa Low, Anind K. Dey, Afsaneh Doryab
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
mobile and wearable sensing
data processing
feature extraction
deep learning
patient readmission
Online Access:https://www.mdpi.com/1424-8220/21/22/7510

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