Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44081, first published .
Issue of Data Imbalance on Low Birthweight Baby Outcomes Prediction and Associated Risk Factors Identification: Establishment of Benchmarking Key Machine Learning Models With Data Rebalancing Strategies

Issue of Data Imbalance on Low Birthweight Baby Outcomes Prediction and Associated Risk Factors Identification: Establishment of Benchmarking Key Machine Learning Models With Data Rebalancing Strategies

Issue of Data Imbalance on Low Birthweight Baby Outcomes Prediction and Associated Risk Factors Identification: Establishment of Benchmarking Key Machine Learning Models With Data Rebalancing Strategies

Journals

  1. Ranjbar A, Montazeri F, Farashah M, Mehrnoush V, Darsareh F, Roozbeh N. Machine learning-based approach for predicting low birth weight. BMC Pregnancy and Childbirth 2023;23(1) View
  2. Lee H, Cho J, Park J, Lee H, Fond G, Boyer L, Kim H, Park S, Cho W, Lee H, Lee J, Yon D. Machine Learning–Based Prediction of Suicidality in Adolescents With Allergic Rhinitis: Derivation and Validation in 2 Independent Nationwide Cohorts. Journal of Medical Internet Research 2024;26:e51473 View
  3. Alabbad D, Ajibi S, Alotaibi R, Alsqer N, Alqahtani R, Felemban N, Rahman A, Aljameel S, Ahmed M, Youldash M. Birthweight Range Prediction and Classification: A Machine Learning-Based Sustainable Approach. Machine Learning and Knowledge Extraction 2024;6(2):770 View
  4. Zhang Y, Xu J, Zhang C, Zhang X, Yuan X, Ni W, Zhang H, Zheng Y, Zhao Z. Community screening for dementia among older adults in China: a machine learning-based strategy. BMC Public Health 2024;24(1) View
  5. Xu L, Li C, Zhang J, Guan C, Zhao L, Shen X, Zhang N, Li T, Yang C, Zhou B, Bu Q, Xu Y. Personalized prediction of mortality in patients with acute ischemic stroke using explainable artificial intelligence. European Journal of Medical Research 2024;29(1) View