PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Healthcare Informatics Research10.4258/hir.2023.29.1.54202329154-63Machine Learning-based Classifiers for the Prediction of Low Birth WeightMahya Arayeshgari, Somayeh Najafi-Ghobadi, Hosein Tarhsaz, Sharareh Parami, Leili Tapakhttp://e-hir.org/upload/pdf/hir-2023-29-1-54.pdf, http://e-hir.org/journal/view.php?doi=10.4258/hir.2023.29.1.54, http://e-hir.org/upload/pdf/hir-2023-29-1-54.pdf
10.21203/rs.3.rs-1027861/v12021A Simple and Interpretable Severe Intraventricular Hemorrhage Prediction Model for Extremely Low Birth Weight Infants Using Machine LearningFelipe Yu Matsushita, Vera Lúcia Jornada Krebs, Werther Brunow de Carvalhohttps://www.researchsquare.com/article/rs-1027861/v1, https://www.researchsquare.com/article/rs-1027861/v1.html
Indonesian Journal of Science and Technology10.17509/ijost.v3i1.1079920183118Prediction and Classification of Low Birth Weight Data Using Machine Learning TechniquesAlfensi Faruk, Endro Setyo Cahyonohttp://ejournal.upi.edu/index.php/ijost/article/viewFile/10799/pdf, http://ejournal.upi.edu/index.php/ijost/article/viewFile/10799/pdf
2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4)10.1109/worlds450073.2020.92103382020Correlation analysis of demographic factors on low birth weight and prediction modeling using machine learning techniquesNajmus Sakib Borson, Md. Riftabin Kabir, Zaisha Zamal, Rashedur M. Rahmanhttp://xplorestaging.ieee.org/ielx7/9203790/9210258/09210338.pdf?arnumber=9210338
10.21203/rs.3.rs-869916/v12021Identifying Clinical Phenotypes in Extremely Low Birth Weight Infants – A Machine Learning ApproachFelipe Yu Matsushita, Vera Lucia Jornada Krebs, Werther Brunow de Carvalhohttps://www.researchsquare.com/article/rs-869916/v1, https://www.researchsquare.com/article/rs-869916/v1.html
10.36227/techrxiv.148671752021An Analytical Model for Prediction of Heart Disease using Machine Learning ClassifiersDiti Roy, Md. Ashiq Mahmood, Tamal Joyti Royhttps://ndownloader.figshare.com/files/28621701
10.36227/techrxiv.14867175.v12021An Analytical Model for Prediction of Heart Disease using Machine Learning ClassifiersDiti Roy, Md. Ashiq Mahmood, Tamal Joyti Royhttps://ndownloader.figshare.com/files/28621701
BMC Medical Informatics and Decision Making10.1186/s12911-022-01981-92022221Machine learning algorithms for predicting low birth weight in EthiopiaWondesen Teshome Bekelehttps://link.springer.com/content/pdf/10.1186/s12911-022-01981-9.pdf, https://link.springer.com/article/10.1186/s12911-022-01981-9/fulltext.html, https://link.springer.com/content/pdf/10.1186/s12911-022-01981-9.pdf
2022 10th International Conference on Agro-geoinformatics (Agro-Geoinformatics)10.1109/agro-geoinformatics55649.2022.98589692022COMPARATIVE STUDY OF MACHINE-LEARNING-BASED CLASSIFIERS FOR SOIL SALINIZATION PREDICTION USING SENTINEL-1 SAR AND SENTINEL-2 MSI DATAGhada Sahbenihttp://xplorestaging.ieee.org/ielx7/9858936/9858951/09858969.pdf?arnumber=9858969
2023 International Conference on Smart Computing and Application (ICSCA)10.1109/icsca57840.2023.100874302023Using Personal Key Indicators and Machine Learning-based Classifiers for the Prediction of Heart DiseaseRaghad Jahed, Omar Aseer, Amjed Al-Mousahttp://xplorestaging.ieee.org/ielx7/10087341/10087376/10087430.pdf?arnumber=10087430