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A Review: Prediction on Chronic Kidney Disease using Data Mining Methods
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| Author:
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RAKESH KUMAR PANDEY, DR. ANOOP KUMAR TIWARI
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| Abstract:
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The large volume of data gathered by healthcare repository is very complex to be analyzed and processed by using conventional methods. Data mining provides the tactic and knowledge of extracting unknown interesting patterns from huge record for management. The Healthcare business is usually in order affluent and not sufficient to handle physically. Huge amounts of information are extremely significant in data mining to mine helpful information for establishing interaction between attributes. From the collection of disease repository prediction of disease is making by using datasets. Health industry contains diverse data that give a variety of helpful information for the doctors to identify a disease, prediction of survivability of diseases. Though, there are many challenges that happen when dealing with huge amount of data, particularly how to investigate data in good manner. This review article contains the relevance of data mining in medical support industry for prediction technique of CKD. By applying various data mining techniques CKD could be predicted very well. In supplement, these facts can develop the worth of healthcare existing to patients.
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| Keyword:
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Clinical data, Healthcare, Disease prediction, Data mining, Chronic kidney disease.
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| EOI:
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-
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| DOI:
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https://doi.org/10.31838/ijpr/2020.SP1.213
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| Download:
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Request For Article
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