Predictive Modeling in Healthcare: A Survey of Data Mining Applications

Healthcare domain is the one that has taken responsibility of human well-being which is aligned with the third sustainable goal of the United Nations (UN). Lately, the use and utilizing of Artificial Intelligence (AI) in healthcare services has been increasing. Data mining and machine learning became very significant in the contemporary era. They are also used in the healthcare domain towards solving a variety of issues from disease diagnosis and classifying to risk assessment and survival prediction. Since healthcare services could be improved with predictive modelling, this paper investigates on predictive modelling using data mining in healthcare domain. It is a systematic review on predictive modelling in healthcare using data mining. This paper provides insights pertaining to the literature on the usage of predictive modeling using data mining to address problems in healthcare domain. It also provides important research gaps triggering possible research in the future. The review article also highlights the key advantages and disadvantages of the methods being followed and adopted by different studies in the field of study, focusing on how data mining techniques combined with other methods and algorithms contribute getting amazing results.