This paper is in the following e-collection/theme issue:

mHealth for Data Collection and Research (981) Machine Learning (1501) Mobile Health (mhealth) (2982) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) mHealth for Wellness, Behavior Change and Prevention (2922)

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

Authors of this article:

Ashley K Clift1 Author Orcid Image ;   Erwann Le Lannou2 Author Orcid Image ;   Christian P Tighe1, 2 Author Orcid Image ;   Sachin S Shah2 Author Orcid Image ;   Matthew Beatty2 Author Orcid Image ;   Arsi Hyvärinen2 Author Orcid Image ;   Stephen J Lane2 Author Orcid Image ;   Tamir Strauss2 Author Orcid Image ;   Devin D Dunn2 Author Orcid Image ;   Jiahe Lu2 Author Orcid Image ;   Mert Aral2 Author Orcid Image ;   Dan Vahdat2 Author Orcid Image ;   Sonia Ponzo2 Author Orcid Image ;   David Plans2, 3, 4 Author Orcid Image
Article Authors Cited by (6) Tweetations (4) Metrics

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
  5. Graham B, Farrell M. Mortality prediction using data from wearable activity trackers and individual characteristics: An explainable artificial intelligence approach. Expert Systems with Applications 2024:126195 View

Books/Policy Documents

  1. Rajamani S, Iyer R. Convergence of Antenna Technologies, Electronics, and AI. View