Disease Prediction Model Using Clustering Classification Techniques for Diabetes Mode in Data Mining: Review Paper

Peddineni Kalpana; Dr. B. V. V. Siva Prasad

Disease Prediction Model Using Clustering Classification Techniques for Diabetes Mode in Data Mining: Review Paper

Authors: Peddineni Kalpana, Dr. B. V. V. Siva Prasad

Unique Paper ID: 151361
Volume: 8
Issue: 1
PageNo: 78-83

Keywords: Medical data mining clustering rule-based classification using M-tree K-means Weka. K-means clustering Categorical data rule-based classification M-tree Pima Indian Diabetics.

Abstract:
People are the most composite living beings on this globe. It is difficult to imagine how billions of minuscule parts, everyone with its own personality, cooperate in an arranged way for the benefit of the all-out being. A framework is an association of different organs masterminded together with the goal that they can complete complex capacities for the body. Body capacities are the physiological or mental elements of body frameworks. Endurance is the body's most significant desire, and it relies upon the body's looking after homeostasis. Homeostasis is a circumstance of relative consistency of body's inner climate, and it relies upon the body's doing numerous activities in an organized way constantly. Its significant activities or capacities are reacting to changes in the body's current circumstance, trading materials between the climate and cells, utilizing food sources, and incorporating the entirety of the body's assorted activities. In the event that there is any change in the homeostasis illnesses set in [1]. A sickness is an unusual circumstance influencing any piece of the body. Infections are generally grouped into transferable and non-transmittable illness.

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ISSN: 2349-6002
Volume: 8
Issue: 1
PageNo: 78-83

Disease Prediction Model Using Clustering Classification Techniques for Diabetes Mode in Data Mining: Review Paper

Available:https://ijirt.org/Article?manuscript=151361

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