Disease Predictive Models for Healthcare by using Data Mining Techniques: State of the Art
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2020 by IJETT Journal|
|Year of Publication : 2020|
|Authors : Aman, Rajender Singh Chhillar
|DOI : 10.14445/22315381/IJETT-V68I10P209|
MLA Style: Aman, Rajender Singh Chhillar "Disease Predictive Models for Healthcare by using Data Mining Techniques: State of the Art" International Journal of Engineering Trends and Technology 68.10(2020):52-57.
APA Style:Aman, Rajender Singh Chhillar. Disease Predictive Models for Healthcare by using Data Mining Techniques: State of the Art International Journal of Engineering Trends and Technology, 68(10),52-57.
Data mining in healthcare has a tremendous ability to explore the hidden pattern in medical datasets. These patterns can be helpful in both Disease diagnosis and prognosis. However, the raw medical data is complex, distributed, and large in size. Due to this, it becomes nearly impossible for the physician to manually process these data all alone. Analyzing this complex data requires lots of effort, time and money. It brings the need for automated Disease Predictive Models which will predict the disease with higher accuracy with lesser efforts. The usage of data mining in Indian healthcare sector has shown excellent potential for growth. This paper offers a summary of Data Mining Techniques, their Applications and current state of India in Healthcare sector in a systematic manner.
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Data Mining, Predictive Modeling, Healthcare, India.