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Using Digital Data to Predict CHD

NCT04574882 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 781

Last updated 2025-11-04

Study results available
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Summary

This project seeks to identify and characterize features derived from digital data (e.g. social media, online search, mobile media) which are associated with coronary heart disease (CHD) and related risk factors, and develop models that use digital data and conventional predictive models to predict CHD risk and health care utilization.

Conditions

Interventions

OTHER

Survey

Interested participants may complete the informed consent online. After informed consent, the participant will be asked to share the digital data types that they use (Facebook, Instagram, Twitter, Google search, step data) and then participants will complete a cross-sectional survey.

Sponsors & Collaborators

Eligibility

Min Age
30 Years
Max Age
74 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-09-25
Primary Completion
2025-05-30
Completion
2025-06-01

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04574882 on ClinicalTrials.gov