A Novel Score for mHealth Apps to Predict and Prevent Mortality: Further Validation and Adaptation to the US Population Using the US National Health and Nutrition Examination Survey Data Set.

Shatha Elnakib Andres Ignacio Vecino Ortiz Dustin Garrett Gibson Smisha Agarwal Antonio J Trujillo Yifan Zhu Alain Bernard Labrique

Published in: Journal of medical Internet research (2022)

Our study shows that this digital biomarker, the C-Score, has good capabilities to predict all-cause mortality in the general US population. An expanded health score can predict 87% of the mortality in the US population. This model can be used as an instrument to assess individual mortality risk and as a counseling tool to motivate behavior changes and lifestyle modifications.

Keyphrases

cardiovascular events
healthcare
public health
metabolic syndrome
risk factors
physical activity
electronic health record
weight loss
health information
smoking cessation
social media
patient reported outcomes
artificial intelligence
climate change
human immunodeficiency virus