Abhishek Pratap

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 9

Top Topics

Potential Impact

Empirical Studies

Explanation Based Learning

Supervised Machine Learning

Top Venues

npj Digit. Medicine

UbiComp/ISWC Adjunct

IEEE J. Biomed. Health Informatics

Publications

Ramzi Halabi, Christina Gonzalez-Torres, Stephane MacLean, M. Ishrat Husain, Abhishek Pratap, Martin Alda, Benoit H. Mulsant, Abigail Ortiz
A Novel Unsupervised Machine Learning Approach to Assess Postural Dynamics in Euthymic Bipolar Disorder. IEEE J. Biomed. Health Informatics 28 (8) (2024)
Yuezhou Zhang, Abhishek Pratap, Amos A. Folarin, Shaoxiong Sun, Nicholas Cummins, Faith Matcham, Srinivasan Vairavan, Judith Dineley, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum L. Stewart, Katie M. White, Carolin Oetzmann, Alina Ivan, Femke Lamers, Sara Siddi, Carla Hernández Rambla, Sara Simblett, Raluca Nica, David C. Mohr, Inez Myin-Germeys, Til Wykes, Josep Maria Haro, Brenda W. J. H. Penninx, Peter Annas, Vaibhav A. Narayan, Matthew Hotopf, Richard J. B. Dobson
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study. npj Digit. Medicine 6 (2023)
Serena Jinchen Xie, Flavia Kapos, Stephen J. Mooney, Sean D. Mooney, Kari A. Stephens, Andrea L. Hartzler, Abhishek Pratap
Geospatial divide in real-world EHR data: Analytical workflow to assess regional biases and potential impact on health equity. AMIA (2022)
Abhishek Pratap, Elias Chaibub Neto, Phil Snyder, Carl Stepnowsky, Noémie Elhadad, Daniel Grant, Matthew H. Mohebbi, Sean D. Mooney, Christine Suver, John Wilbanks, Lara M. Mangravite, Patrick J. Heagerty, Pat A. Areán, Larsson Omberg
Indicators of retention in remote digital health studies: a cross-study evaluation of 100, 000 participants. npj Digit. Medicine 3 (2020)
Samantha Kolovson, Abhishek Pratap, Jaden Duffy, Ryan Allred, Sean A. Munson, Patricia A. Areán
Understanding Participant Needs for Engagement and Attitudes towards Passive Sensing in Remote Digital Health Studies. PervasiveHealth (2020)
Elias Chaibub Neto, Abhishek Pratap, Thanneer M. Perumal, Meghasyam Tummalacherla, Brian M. Bot, Lara Mangravite, Larsson Omberg
A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health. KDD (2019)
Elias Chaibub Neto, Abhishek Pratap, Thanneer M. Perumal, Meghasyam Tummalacherla, Phil Snyder, Brian M. Bot, Andrew D. Trister, Stephen H. Friend, Lara M. Mangravite, Larsson Omberg
Detecting the impact of subject characteristics on machine learning-based diagnostic applications. npj Digit. Medicine 2 (2019)
Abhishek Pratap, Elias Chaibub Neto, Phil Snyder, Carl Stepnowsky, Noémie Elhadad, Daniel Grant, Matthew H. Mohebbi, Sean D. Mooney, Christine Suver, John Wilbanks, Lara Mangravite, Patrick Heagerty, Pat A. Areán, Larsson Omberg
Indicators of retention in remote digital health studies: A cross-study evaluation of 100, 000 participants. CoRR (2019)
Abhishek Pratap, Joaquin A. Anguera, Brenna N. Renn, Elias Chaibub Neto, Joshua Volponi, Sean D. Mooney, Pat A. Areán
The feasibility of using smartphones to assess and remediate depression in Hispanic/Latino individuals nationally. UbiComp/ISWC Adjunct (2017)
Thomas Cokelaer, Mukesh Bansal, Christopher Bare, Erhan Bilal, Brian M. Bot, Elias Chaibub Neto, Federica Eduati, Mehmet Gönen, Steven M. Hill, Bruce R. Hoff, Jonathan R. Karr, Robert Küffner, Michael P. Menden, Pablo Meyer, Raquel Norel, Abhishek Pratap, Robert J. Prill, Matthew T. Weirauch, James C. Costello, Gustavo Stolovitzky, Julio Saez-Rodriguez
DREAMTools: a Python package for scoring collaborative challenges. F1000Research 4 (2015)