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Title ROLE OF DATA MINING IN MEDICAL HEALTHCARE

Author(s) Waqas Ali

Abstract Data mining (DM) is a progressive field that helps in finding useful and meaningful information from large data. It aids to determine knowledge and patterns from complex data. Health data needs various investigative procedures in identifying vital information that is used for decisionmaking. In healthcare, organization’s data is mostly stored in digital format all over the world. Enhancement is always an important feature to examine. In the medical healthcare field, various researchers are interested to contribute accordingly. The data of medical healthcare exists but it needs more attention by applying DM techniques and sort in a more compatible form of knowledge. However, the lack of a comprehensive and systematic narrative encourages for bearing a systematic literature review (SLR) on this topic. This research aims to find updated knowledge of DM and machine learning (ML) techniques in medical healthcare. The comparison is prepared based on three different methods which include quantitative-based, image-based, and signals-based. In this study, SLRs focus on the published literature of a specific research field by the findings of all relevant studies that address a set of research questions while being objective, systematic, clear, and replicable. Firstly, this study answers the current status of DM, ML, and their algorithms. Secondly, three different methods are compared and propose a framework to help the data analysts and data science experts to know about the suitable DM, ML techniques, and methods for medical healthcare.

Type Thesis/Dissertation MS

Faculty Engineering and Computer Science

Department Engineering

Language English

Publication Date 2022-06-27

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