https://ijojournals.com/index.php/cse/issue/feed 2026-03-29T10:59:50+00:00 Rahul Khan info@ijojournals.com Open Journal Systems <p><strong>IJO -International Journal Of Computer Science and Engineering</strong> <strong>(E:ISSN: 2814-1881) (P.ISSN: 1595-935X)&nbsp;</strong>:-Subjects covered in Computer Science and Engineering include: Computer Science; Scientific Computing; Wireless Networking; Network Modelling; Computational Science &amp; Engineering; Theoretical Computer Science; Biosystems Engineering; Machine Learning; Systems Biology &amp; Bioinformatics; Biostatistics; Data Mining; Data Analysis; Internet Computing &amp; Web Services; Information System Engineering; Quantum Computing; Nano Computing; Soft Computing; Artificial Intelligence; Digital Signal Processing, Cloud Computing; Robotics; Computer Graphics; Information Science; Medical Image Computing; Natural language Processing; Evolutionary Computation.</p> https://ijojournals.com/index.php/cse/article/view/1264 2026-03-29T10:59:50+00:00 Treasure.O. ADEFEHINTI noreplyijo@gmail.com Ayorinde.O. IDOWU noreplyijo@gmail.com Mojirade.A. AWODUN noreplyijo@gmail.com

<p><em>The alarming rate of maternal and neonates’ morbidity and mortality rates in the country prompted a genuine commitment to enhance the health and well-being of mothers and children. This research aims to address the critical health challenges that causes maternal and neonates mortality using SVM to improve health outcomes, optimize healthcare efficiency and address existing disparity. SVM, a supervised machine learning algorithm, is employed to predict risks during pregnancy and childbirth by analyzing health indicators such as blood pressure, age, and heart rate so as to develop a predictive model to identify high-risk cases early and support healthcare professionals in implementing timely interventions.</em></p>

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