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Foundations of AI (57)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56590, first published .
Development of Lung Cancer Risk Prediction Machine Learning Models for Equitable Learning Health System: Retrospective Study

Development of Lung Cancer Risk Prediction Machine Learning Models for Equitable Learning Health System: Retrospective Study

Development of Lung Cancer Risk Prediction Machine Learning Models for Equitable Learning Health System: Retrospective Study

Authors of this article:

Anjun Chen1 Author Orcid Image ;   Erman Wu2 Author Orcid Image ;   Ran Huang2 Author Orcid Image ;   Bairong Shen2 Author Orcid Image ;   Ruobing Han3 Author Orcid Image ;   Jian Wen4 Author Orcid Image ;   Zhiyong Zhang1 Author Orcid Image ;   Qinghua Li4 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Houston A, Williams S, Ricketts W, Gutteridge C, Tackaberry C, Conibear J. Automated derivation of diagnostic criteria for lung cancer using natural language processing on electronic health records: a pilot study. BMC Medical Informatics and Decision Making 2024;24(1) View
  2. Pan X, Feng B, Chen Y, Wang J, Pan X, Lam T, Pan J. Prognostic models for lung cancer in smokers and nonsmokers: an updated systematic review and meta-analysis. Oncology and Translational Medicine 2025;11(3):112 View
  3. M S P, D S, Chakrabortty A. Lung cancer risk prediction using augmented machine learning pipelines with explainable AI. Frontiers in Artificial Intelligence 2025;8 View

Conference Proceedings

  1. Lovely L, Kaur S, Singla S, Kaur K, Shilpa S, Kumar N. 2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV). Transparent Lung Cancer Risk Assessment via Hybrid Machine Learning Algorithm Leveraging Interpretability View