Using Wearable Biosensors to Predict Length of Stay for Patients with IBD After Bowel Surgery.

Yangtian YiPhilip H SossenheimerAmarachi I EronduKinga B SkowronVictoria RaiJorie M SingerKatia El JurdiNeil H HymanDavid T Rubin

Published in: Digestive diseases and sciences (2021)

We demonstrated the utility of activity and sleep data from wearable biosensors in predicting length of stay. Patients with more severe complications may benefit more (i.e., reduced postoperative length of stay) from increased ambulation. However, overall, sleep duration/efficiency did not predict length of stay.

Keyphrases

heart rate
minimally invasive
coronary artery bypass
patients undergoing
electronic health record
physical activity
risk factors
early onset
big data
sleep quality
machine learning
label free
drug induced
depressive symptoms
ulcerative colitis
atrial fibrillation
data analysis
deep learning