Published on in Vol 5 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/52059, first published
.

Journals
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- Correia V, Mascarenhas T, Mascarenhas M. Smart Pregnancy: AI-Driven Approaches to Personalised Maternal and Foetal Health—A Scoping Review. Journal of Clinical Medicine 2025;14(19):6974 View
- Zhang T, Hu Y, Tang C, Yang C. Current trends and future artificial intelligence applications in transfusion medicine: a bibliometric analysis. Expert Review of Hematology 2025:1 View
- Lérias-Cambeiro M, Mugeiro-Silva R, Rodrigues A, Dias-Domingues T, Lança F, Vaz Carneiro A. Enhancing Postpartum Haemorrhage Prediction Through the Integration of Classical Logistic Regression and Machine Learning Algorithms. Mathematics 2025;13(21):3376 View
- Osborne A, Soladoye A, Usani O, Adekoya A, Wada O, Olawade D. Machine learning prediction of kangaroo mother care in Sierra Leone: a comparative study of feature selection techniques and classification algorithms. International Journal of Medical Informatics 2025:106166 View
Conference Proceedings
- Nahatkar S, Belhe A, Ganthade V, Uravane P, Pattewar T. 2025 International Conference on Computational, Communication and Information Technology (ICCCIT). Collating Random Forest Classifier and Artificial Neural Networks for the Risk Detection of Maternal Health View
- Modi N, Kumar Y. 2025 7th International Conference on Energy, Power and Environment (ICEPE). Automated Machine Learning-Based System for the Prediction of Maternal Health Indicators and High-Risk Pregnancy View
