Abhishek Pratap

Orcid: 0000-0002-5289-6932

According to our database1, Abhishek Pratap authored at least 11 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Comparative Assessment of Multimodal Sensor Data Quality Collected Using Android and iOS Smartphones in Real-World Settings.
Sensors, October, 2024

A Novel Unsupervised Machine Learning Approach to Assess Postural Dynamics in Euthymic Bipolar Disorder.
IEEE J. Biomed. Health Informatics, August, 2024

2023
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study.
npj Digit. Medicine, 2023

2022
Geospatial divide in real-world EHR data: Analytical workflow to assess regional biases and potential impact on health equity.
Proceedings of the AMIA 2022, 2022

2020
Indicators of retention in remote digital health studies: a cross-study evaluation of 100, 000 participants.
npj Digit. Medicine, 2020

Understanding Participant Needs for Engagement and Attitudes towards Passive Sensing in Remote Digital Health Studies.
Proceedings of the PervasiveHealth '20: 14th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2020

2019
Detecting the impact of subject characteristics on machine learning-based diagnostic applications.
npj Digit. Medicine, 2019

Indicators of retention in remote digital health studies: A cross-study evaluation of 100, 000 participants.
CoRR, 2019

A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2017
The feasibility of using smartphones to assess and remediate depression in Hispanic/Latino individuals nationally.
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

2015
DREAMTools: a Python package for scoring collaborative challenges.
F1000Research, 2015


  Loading...