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

Digital Health Reviews (3899) Equity and Digital Divide (537) Machine Learning (3373) Cancer Epidemiology, Cancer Surveillance and Infodemiology (178) Artificial Intelligence (5085) Data Science (730)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79187, first published .
3D human model on interactive data map, healthcare professionals review social determinants of cancer data

Machine Learning Techniques Used for the Identification of Sociodemographic Factors Associated With Cancer: Systematic Literature Review

Machine Learning Techniques Used for the Identification of Sociodemographic Factors Associated With Cancer: Systematic Literature Review

Authors of this article:

Liz González-Infante1, 2 Author Orcid Image ;   Gaston Marquez2, 3 Author Orcid Image ;   Solange Parra-Soto2, 4 Author Orcid Image ;   Mónica Cardona-Valencia5 Author Orcid Image ;   Carla Taramasco2, 6 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Avizova Z, Myssayev A, Iztleuov Y. Machine Learning-Derived Risk Groups and Clinical Implementation of Survival Prediction in Lung Cancer: Evidence from a Kazakh National Cohort. Diagnostics 2026;16(10):1479 View
  2. Hey G, Del Sesto M, Still M, Patel G, Crlenjak N, Dagra A, Wu Y, Guo Y, Ghiaseddin A. Leveraging traditional and advanced machine learning for comprehensive oncology data integration and outcome prediction. Journal of Neuro-Oncology 2026;180(1) View