Predicting cardiovascular disease risk using photoplethysmography and deep learning.

• Main Authors: Wei-Hung Weng (Author), Sebastien Baur (Author), Mayank Daswani (Author), Christina Chen (Author), Lauren Harrell (Author), Sujay Kakarmath (Author), Mariam Jabara (Author), Babak Behsaz (Author), Cory Y McLean (Author), Yossi Matias (Author), Greg S Corrado (Author), Shravya Shetty (Author), Shruthi Prabhakara (Author), Yun Liu (Author), Goodarz Danaei (Author), Diego Ardila (Author)
• Format: Book
• Published: Public Library of Science (PLoS), 2024-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Cardiovascular diseases (CVDs) are responsible for a large proportion of premature deaths in low- and middle-income countries. Early CVD detection and intervention is critical in these populations, yet many existing CVD risk scores require a physical examination or lab measurements, which can be cha...