Carissa A. Low

According to our database, Carissa A. Low authored at least 8 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

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, Anind K. Dey, Carissa A. Low, Aidan G. C. Wright, Afsaneh Doryab

Future Gener. Comput. Syst., 2022

2021

Prediction of Hospital Readmission from Longitudinal Mobile Data Streams.

Chen Qian, Patraporn Leelaprachakul, Matthew Landers, Carissa A. Low, Anind K. Dey, Afsaneh Doryab

Sensors, 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

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

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

Harnessing consumer smartphone and wearable sensors for clinical cancer research.

Carissa A. Low

npj Digit. Medicine, 2020

2019

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

2016

Using passively collected sedentary behavior to predict hospital readmission.

Sangwon Bae, Anind K. Dey, Carissa A. Low

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016