Using passively collected sedentary behavior to predict hospital readmission. - Sangwon Bae 001; Anind K. Dey; Carissa A. Low (UbiComp, 2016)

Modeling Biobehavioral Rhythms with Passive Sensing in the Wild: A Case Study to Predict Readmission Risk after Pancreatic Surgery. - Afsaneh Doryab; Anind K. Dey; Grace Kao; Carissa A. Low (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Harnessing consumer smartphone and wearable sensors for clinical cancer research. - Carissa A. Low (npj Digit. Medicine, 2020)

Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research. - Benjamin W. Nelson; Carissa A. Low; Nicholas Jacobson; Patricia Areán; John B. Torous; Nicholas B. Allen (npj Digit. Medicine, 2020)

Reproducible Analysis Pipeline for Data Streams: Open-Source Software to Process Data Collected With Mobile Devices. - Julio Vega; Meng Li; Kwesi Aguillera; Nikunj Goel; Echhit Joshi; Kirtiraj Khandekar; Krina C. Durica; Abhineeth R. Kunta; Carissa A. Low (Frontiers Digit. Health, 2021)

Join, Stay or Go?: A Closer Look at Members' Life Cycles in Online Health Communities. - Zheng Yao; Diyi Yang; John M. Levine; Carissa A. Low; Tenbroeck Smith; Haiyi Zhu; Robert E. Kraut (Proc. ACM Hum. Comput. Interact., 2021)

Prediction of Hospital Readmission from Longitudinal Mobile Data Streams. - Chen Qian 007; Patraporn Leelaprachakul; Matthew Landers; Carissa A. Low; Anind K. Dey; Afsaneh Doryab (Sensors, 2021)

Exploratory machine learning modeling of adaptive and maladaptive personality traits from passively sensed behavior. - Runze Yan; Whitney R. Ringwald; Julio Vega; Madeline Kehl; Sangwon Bae 001; Anind K. Dey; Carissa A. Low; Aidan G. C. Wright; Afsaneh Doryab (Future Gener. Comput. Syst., 2022)