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Abhishek Pratap
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Journal Articles
- 2024
- [j5]Ramzi Halabi, Rahavi Selvarajan, Zixiong Lin, Calvin Herd, Xueying Li, Jana Kabrit, Meghasyam Tummalacherla, Elias Chaibub Neto, Abhishek Pratap:
Comparative Assessment of Multimodal Sensor Data Quality Collected Using Android and iOS Smartphones in Real-World Settings. Sensors 24(19): 6246 (2024) - [j4]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): 4903-4911 (2024) - 2023
- [j3]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) - 2020
- [j2]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) - 2019
- [j1]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)
Conference and Workshop Papers
- 2022
- [c4]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 - 2020
- [c3]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: 347-362 - 2019
- [c2]Elias Chaibub Neto, Abhishek Pratap, Thanneer M. Perumal, Meghasyam Tummalacherla, Brian M. Bot, Lara M. Mangravite, Larsson Omberg:
A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health. KDD 2019: 54-64 - 2017
- [c1]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: 854-860
Informal and Other Publications
- 2019
- [i2]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:
Indicators of retention in remote digital health studies: A cross-study evaluation of 100, 000 participants. CoRR abs/1910.01165 (2019) - 2015
- [i1]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: 1030 (2015)
Coauthor Index
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