Predicting cardiovascular disease risk using photoplethysmography and deep learning.

• Główni autorzy: Wei-Hung Weng (Autor), Sebastien Baur (Autor), Mayank Daswani (Autor), Christina Chen (Autor), Lauren Harrell (Autor), Sujay Kakarmath (Autor), Mariam Jabara (Autor), Babak Behsaz (Autor), Cory Y McLean (Autor), Yossi Matias (Autor), Greg S Corrado (Autor), Shravya Shetty (Autor), Shruthi Prabhakara (Autor), Yun Liu (Autor), Goodarz Danaei (Autor), Diego Ardila (Autor)
• Format: Książka
• Wydane: Public Library of Science (PLoS), 2024-01-01T00:00:00Z.
• Hasła przedmiotowe: article
• Dostęp online: 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...