Published on in Vol 9, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25655, first published .
Development and Validation of Risk Scores for All-Cause Mortality for a Smartphone-Based “General Health Score” App: Prospective Cohort Study Using the UK Biobank

Development and Validation of Risk Scores for All-Cause Mortality for a Smartphone-Based “General Health Score” App: Prospective Cohort Study Using the UK Biobank

Development and Validation of Risk Scores for All-Cause Mortality for a Smartphone-Based “General Health Score” App: Prospective Cohort Study Using the UK Biobank

Journals

  1. Elnakib S, Vecino-Ortiz A, Gibson D, Agarwal S, Trujillo A, Zhu Y, Labrique A. 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. Journal of Medical Internet Research 2022;24(6):e36787 View
  2. Tedesco S, Andrulli M, Larsson M, Kelly D, Alamäki A, Timmons S, Barton J, Condell J, O’Flynn B, Nordström A. Comparison of Machine Learning Techniques for Mortality Prediction in a Prospective Cohort of Older Adults. International Journal of Environmental Research and Public Health 2021;18(23):12806 View
  3. Li Z, Yang N, He L, Wang J, Ping F, Li W, Xu L, Zhang H, Li Y. Development and validation of questionnaire-based machine learning models for predicting all-cause mortality in a representative population of China. Frontiers in Public Health 2023;11 View
  4. Bruun-Rasmussen N, Napolitano G, Bojesen S, Ellervik C, Holmager T, Rasmussen K, Lynge E. Correlation between allostatic load index and cumulative mortality: a register-based study of Danish municipalities. BMJ Open 2024;14(2):e075697 View