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Prediction of Pregnancy-Induced Hypertension Levels Using Machine Learning Algorithms

A. Hiwale,Pratvina Talele,Rashmi Phalnikar

2019 · DOI: 10.1007/978-981-32-9515-5_56
Advances in Intelligent Systems and Computing · 2 Citations

TLDR

This work shows that the accuracy achieved by the use of decision tree (90%) is better than that of support vector machine (86.667%) and logistics regression (83.334%) algorithms used in earlier work.