Impact Factor
7.883
Call For Paper
Volume 12 Issue 07
July 2026
Author(s)
Swathi Krishna M.R Devadharshini.P Pooja.B Suji Mohanisha.P
Abstract
This Paper Presents A Novel ML-based System To Predict Maternal And Infant Health Risks Including Gestational Diabetes, Preeclampsia, And Postnatal Depression. Leveraging Random Forest And Gradient Boosting, Our Flask-based App Provides Real-time, Personalized Insights. Experimental Results Show Up To 92% Accuracy, Supporting Early Intervention And Improved Outcomes.
Keywords
Machine Learning (ML)
Maternal Health
Infant Growth
Machine Learning
Prenatal Care
Postnatal Depression
Predictive Analytics
Healthcare Technology
Paper ID
IJSARTV11I4103415
Publication Date
April 30, 2025
Research Area
Biomedical Engineering