Analysis of various Data Mining Techniques Techniques for Pregnancy related issues and Postnatal health of infant using Machine Learning and Fuzzy Logic

摘要

Data Mining is a technique of using available information of an entity to extract useful patterns from the large database which can be implemented in various sectors. It is an essential process where intelligent methods are applied to extract relationship within data. Data mining holds great potential to improve health systems like mental issues, finance, bioinformatics, agriculture, healthcare and business. In this survey, we aim to compare efficiency of various data mining techniques and examine the role played by machine learning and fuzzy logic in the field of healthcare. The paper mainly focuses on determining the pregnancy related issues and health status of a newborn by analysing the demographic information, medical history, lifestyle information including smoking and drug use and many other useful attributes of a pregnant lady during gestation period, a stage wherein every women undergoes many physiological changes, sometimes inducing severe health problems leading to death of both mother and foetus.