17 citations · 17 across the 2 of their papers we have counts for
3 papers
Indicators of retention in remote digital health studies: A cross-study evaluation of 100,000 participants
Abhishek Pratap, Elias Chaibub Neto, Phil Snyder +11
Digital technologies such as smartphones are transforming the way scientists conduct biomedical research using real-world data. Several remotely-conducted studies have recruited th…
Using permutations to assess confounding in machine learning applications for digital health
Elias Chaibub Neto, Abhishek Pratap, Thanneer M Perumal +4
Clinical machine learning applications are often plagued with confounders that can impact the generalizability and predictive performance of the learners. Confounding is especially…
On the analysis of personalized medication response and classification of case vs control patients in mobile health studies: the mPower case study
Elias Chaibub Neto, Thanneer M Perumal, Abhishek Pratap +3
In this work we provide a couple of contributions to the analysis of longitudinal data collected by smartphones in mobile health applications. First, we propose a novel statistical…