Machine Learning Analysis for Remote Prenatal Care

• Main Authors: Bautista, John Mark, Quiwa, Quiel Andrew I, Reyes, Rosula SJ
• Format: text
• Published: Archīum Ateneo 2020
• Subjects: Pregnancy; Medical services; Machine learning; Machine learning algorithms; Telemedicine; Decision trees; Pediatrics; prenatal care; maternal history; Electrical and Computer Engineering; Maternal and Child Health
• Online Access: https://archium.ateneo.edu/ecce-faculty-pubs/113; https://ieeexplore.ieee.org/document/9293890
• Institution: Ateneo De Manila University

The lack of health professionals, quality health care, and accessible health centers in rural and isolated communities have resulted in high maternal and fetal mortality rates in the Philippines, especially since quality maternal and child healthcare services are concentrated in more developed urban...