A Data-Driven Framework for Early Maternal Risk Detection Using IoT-Enabled ML Models

Authors

  • Komati Sathish Author

DOI:

https://doi.org/10.48047/

Keywords:

Clinical risk identification, Maternal health risk Prediction, IoT-enabled sensors, Heart rate, K-nearest neighbours, Extra Trees classifier

Abstract

Ensuring maternal well-being is a fundamental pillar of public health, requiring proactive strategies to identify clinical risks early in pregnancy. This research proposes a sophisticated framework for Maternal Health Risk Prediction that merges Internet of Things (IoT) capabilities with advanced Machine Learning (ML) algorithms

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Published

2020-08-16

Issue

Vol. 11 No. 8 (2020): Volume 11 Issue 8 (2020)

Section

Articles