Big Data and Cardiac Rehabilitation

on YouTube ↗07m

" summary

Uses hospital and outpatient data plus surveys to model who drops out of cardiac rehab, finding adherence links to seasonality, comorbidity, distance and access to a car. Scores patients to triage limited support and delivers vetted social-message nudges (texts from family/friends collected at enrollment). Combines PhD-level analytics, clinical trials and behavioral economics, targets the standard 36 sessions program, and measures sustained behavior up to one-year retention in trial follow-up.

AI-written summary · about

" chapters (5)

1. 0:00Introduction
2. 0:45What is Cardiac Rehabilitation
3. 1:32Challenges of Cardiac Rehabilitation
4. 2:32Seasonality
5. 5:50Team

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