3 citations · 3 across the 4 of their papers we have counts for
4 papers
Multivariate Functional Principal Component Analysis for Mixed-Type mHealth Data: An Application to Mood Disorders
Debangan Dey, Rahul Ghosal, Kathleen Merikangas +1
Modern mobile health (mHealth) assessment combines self-reported measures of participants' health experiences with passively collected health behavior data throughout the day. Thes…
Scalar-on-distribution regression via generalized odds with applications to accelerometry-assessed disability in multiple sclerosis
Pratim Guha Niyogi, Muraleetharan Sanjayan, Kathryn C. Fitzgerald +2
Distributional representations of data collected using digital health technologies have been shown to outperform scalar summaries for clinical prediction, with carefully quantified…
Hazard and Beyond: Exploring Five Distributional Representations of Accelerometry Data for Disability Discrimination in Multiple Sclerosis
Pratim Guha Niyogi, Muraleetharan Sanjayan, Dmitri Volfson +3
Research on modeling the distributional aspects in sensor-based digital health (sDHT) data has grown significantly in recent years. Most existing approaches focus on using individu…
Glucodensity Functional Profiles Outperform Traditional Continuous Glucose Monitoring Metrics
Marcos Matabuena, Rahul Ghosal, Javier Enrique Aguilar +6
Continuous glucose monitoring (CGM) data has revolutionized the management of type 1 diabetes, particularly when integrated with insulin pumps to mitigate clinical events such as h…