Affiliation:
1. Dr. Mahalingam College of Engineering and Technology, Pollachi, India
Abstract
Machine learning is an area that helps to predict outcomes more accurately. It was utilized in different domains such as banking, healthcare, education, etc. Among all the domains, machine learning was largely utilized in the healthcare sector for predicting and diagnosing the disease in advance for saving millions of lives. ML has different kinds of algorithms which help to make the prediction process effective. This chapter focussed on explaining different machine learning algorithms for making better predictions in pregnancy complications in the healthcare domain. In general, there are different complications that women encountered during their pregnancy periods such as High BP, preeclampsia, anemia, etc. This work specifically aims to describe the preeclampsia complication during pregnancy. In machine learning, various kinds of regression algorithms are compared and analyzed. It also focused on which predictive technique would be more efficient for predicting the condition of preeclampsia in advance to save lives of pregnant women and also take necessary precautions.
Reference62 articles.
1. A machine learning model for improving healthcare services on cloud computing environment
2. Interpretable machine learning in healthcare;M. A.Ahmad;Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics,2018
3. Interpretable Machine Learning in Healthcare
4. Prediction of Preeclampsia Using Machine Learning and Deep Learning Models: A Review
5. Ashfaq, N., Nawaz, Z., & Ilyas, M. (2021). A comparative study of Different Machine Learning Regressors For Stock Market Prediction. ArXiv, abs/2104.07469.