Open AccessUsing Wearable Biosensors to Predict Length of Stay for Patients with IBD After Bowel Surgery
Author(s) -
Yangtian Yi,
Philip H. Sossenheimer,
Amarachi Erondu,
Kinga B. Skowron,
Victoria Rai,
Jorie Singer,
Katia El Jurdi,
Neil Hyman,
David T. Rubin
Publication year - 2021
Publication title -
digestive diseases and sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.14
H-Index - 124
eISSN - 1573-2568
pISSN - 0163-2116
DOI - 10.1007/s10620-021-06910-w
Subject(s) - medicine , sleep (system call) , linear regression , logistic regression , stepwise regression , surgery , statistics , mathematics , computer science , operating system
It remains unknown whether ambulation or sleep predicts postoperative length of stay for patients with IBD. We aim to identify the utility of wearable biosensors in predicting postoperative length of stay for patients with IBD.