Ensari Lab

Icahn School of Medicine at Mount Sinai

PUBLIC HEALTH & PREV MEDICINE

New York · United States

NIH-funded
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NIH R01 · 2024

Evaluation techniques for mHealth outcome measures using patient generated health data

PROJECT SUMMARY This proposal investigates statistical models for developing mobile health (mHealth) measures using patient generated health data (PGHD) with high complexity and temporality. The emergence of mHealth technologies and computational tools are rapidly expanding their use in research and clinical settings, and engaging patients in self-management. mHealth technology further allows integration of multifarious data streams to improve outcome measurement and prediction to aid clinical decision making. To maximize their actionability, however, there is a need to investigate novel approaches for design, development and evaluation of mHealth-based measures. We ground our investigation…

From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.

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