Predictive Analysis of Diseases: An Overview

Abstract

Predictive Analysis of Diseases is an important issue in medical research. Majority number of patients struggle for their check up even for predictive diseases like heart attack, liver damage, eczema and diabetes. There is a lot of data available within the healthcare systems. However, there is a lack of effective analysis tools to discover hidden relationships and trends in data. Data mining technology provides a user-oriented approach to novel and hidden patterns in the data. This research paper put lights on how predictive analysis of diseases play a vital role in healthcare domain and analyse various predictive data mining techniques. With the effective analysis tools and algorithms, pattern of diseases can be possible.

Authors and Affiliations

Purvashi Mahajan, Abhishek Sharma

Keywords

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  • EP ID EP22044
  • DOI -
  • Views 222
  • Downloads 4

How To Cite

Purvashi Mahajan, Abhishek Sharma (2016). Predictive Analysis of Diseases: An Overview. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(4), -. https://europub.co.uk/articles/-A-22044