Estimation of Symptom Severity During Chemotherapy From Passively Sensed Data: Exploratory Study.

Carissa A Low Anind K Dey Denzil Ferreira Thomas W Kamarck Weijing Sun Sang Won Bae Afsaneh Doryab

Published in: Journal of medical Internet research (2017)

Passive sensor data, including mobile phone accelerometer and usage and Fitbit-assessed activity and sleep, were related to daily symptom burden during chemotherapy. These findings highlight opportunities for long-term monitoring of cancer patients during chemotherapy with minimal patient burden as well as real-time adaptive interventions aimed at early management of worsening or severe symptoms.

Keyphrases

physical activity
locally advanced
electronic health record
sleep quality
squamous cell carcinoma
risk factors
early onset
chemotherapy induced
patient reported
radiation therapy
machine learning
depressive symptoms
data analysis
artificial intelligence