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

Machine Learning (1770) Clinical Information and Decision Making (1688) Artificial Intelligence (1779) Decision Support for Health Professionals (1361) Advanced Data Analytics in eHealth (169) Big Data (284) Computer-Aided Diagnosis (188) Methods and Instruments in Medical Informatics (167)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53058, first published .
Risk Prediction of Emergency Department Visits in Patients With Lung Cancer Using Machine Learning: Retrospective Observational Study

Risk Prediction of Emergency Department Visits in Patients With Lung Cancer Using Machine Learning: Retrospective Observational Study

Risk Prediction of Emergency Department Visits in Patients With Lung Cancer Using Machine Learning: Retrospective Observational Study

Authors of this article:

Ah Ra Lee1 Author Orcid Image ;   Hojoon Park1 Author Orcid Image ;   Aram Yoo1 Author Orcid Image ;   Seok Kim1 Author Orcid Image ;   Leonard Sunwoo2 Author Orcid Image ;   Sooyoung Yoo1 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

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  1. Ruiz-Ramos J, Vela E, Monterde D, Blazquez-Andion M, Puig-Campmany M, Piera-Jiménez J, Carot G, Juanes-Borrego A. Healthcare risk stratification model for emergency departments based on drugs, income and comorbidities: the DICER-score. BMC Emergency Medicine 2024;24(1) View
  2. Chen S, Wu S. Ensemble machine learning models for lung cancer incidence risk prediction in the elderly: a retrospective longitudinal study. BMC Cancer 2025;25(1) View
  3. Wang L, Wen A, Fu S, Ruan X, Huang M, Li R, Lu Q, Lyu H, Williams A, Liu H. A scoping review of OMOP CDM adoption for cancer research using real world data. npj Digital Medicine 2025;8(1) View

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  1. Tseng Y, Dao C, Kuo C, Hung F, Hung C, Peng W. Technologies and Applications of Artificial Intelligence. View

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  1. Goyal S. 2024 IEEE 6th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS). Age-Based Predictive Modeling of Emergency Department Visits Using Machine Learning View