Abhishek Pratap

11 papers A* 1Misc 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Novel Unsupervised Machine Learning Approach to Assess Postural Dynamics in Euthymic Bipolar Disorder.
IEEE J. Biomed. Health Informatics
Ramzi Halabi, Christina Gonzalez-Torres, Stephane MacLean, M. Ishrat Husain, Abhishek Pratap, Martin Alda, Benoit H. Mulsant, Abigail Ortiz
2024 J jnl
Comparative Assessment of Multimodal Sensor Data Quality Collected Using Android and iOS Smartphones in Real-World Settings.
Sensors
Ramzi Halabi, Rahavi Selvarajan, Zixiong Lin, Calvin Herd, Xueying Li, Jana Kabrit, Meghasyam Tummalacherla, Elias Chaibub Neto, Abhishek Pratap
2023 J jnl
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study.
npj Digit. Medicine
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
2022 Misc conf
Geospatial divide in real-world EHR data: Analytical workflow to assess regional biases and potential impact on health equity.
AMIA
Serena Jinchen Xie, Flavia Kapos, Stephen J. Mooney, Sean D. Mooney, Kari A. Stephens, Andrea L. Hartzler, Abhishek Pratap
2020 J jnl
Indicators of retention in remote digital health studies: a cross-study evaluation of 100, 000 participants.
npj Digit. Medicine
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
2020 — conf
Understanding Participant Needs for Engagement and Attitudes towards Passive Sensing in Remote Digital Health Studies.
PervasiveHealth
Samantha Kolovson, Abhishek Pratap, Jaden Duffy, Ryan Allred, Sean A. Munson, Patricia A. Areán
2019 A* conf
A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health.
KDD
Elias Chaibub Neto, Abhishek Pratap, Thanneer M. Perumal, Meghasyam Tummalacherla, Brian M. Bot, Lara M. Mangravite, Larsson Omberg
2019 J jnl
Detecting the impact of subject characteristics on machine learning-based diagnostic applications.
npj Digit. Medicine
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
2019 J jnl
Indicators of retention in remote digital health studies: A cross-study evaluation of 100, 000 participants.
CoRR
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, Patricki J. Heagerty, Pat A. Areán, Larsson Omberg
2017 — conf
The feasibility of using smartphones to assess and remediate depression in Hispanic/Latino individuals nationally.
UbiComp/ISWC Adjunct
Abhishek Pratap, Joaquin A. Anguera, Brenna N. Renn, Elias Chaibub Neto, Joshua Volponi, Sean D. Mooney, Pat A. Areán
2015 J jnl
DREAMTools: a Python package for scoring collaborative challenges.
F1000Research
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