Effectiveness of Association Rule Mining Classification in HIV and HCV

Aneeshkumar, A S; Malar, J. Angelin Jeba; Anoop, M.

doi:10.1109/incet54531.2022.9824414

2022 3rd International Conference for Emerging Technology (INCET) 2022

DOI: 10.1109/incet54531.2022.9824414

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Effectiveness of Association Rule Mining Classification in HIV and HCV

A S Aneeshkumar¹,

J. Angelin Jeba Malar²,

M. Anoop³

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2022

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Blemish identification in Co-variance of Disease using Data Mining Techniques

Aneeshkumar

2022

Preprint

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Data mining is an established domain used to identify influenced or associated aspects and its occurrence for the forecasting and future predictions in several fields. These information are statistically consistent, substantial facts and formerly unknown. Health care is one of the major data mining application area. In health related organizations, the techniques of data mining are used to observe characteristics of a disease or a particular medical condition and formation of its treatment. Liver enzymes are useful for accountable physical and chemical activities in the body and its variations will affects other relevant functionalities of our body. Diabetes Mellitus is a state, where the body does not produce enough insulin to convert blood sugar to energy. The influence of diabetes in liver disordered patients are the base of this study. Chi-squared automatic interaction detector is applied in this paper to determine the contribution of Liver disease to diabetes mellitus and vice-versa.

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Blemish identification in Co-variance of Disease using Data Mining Techniques

Aneeshkumar

2022

Preprint

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Effectiveness of Association Rule Mining Classification in HIV and HCV

Cited by 1 publication

References 9 publications

Blemish identification in Co-variance of Disease using Data Mining Techniques

Blemish identification in Co-variance of Disease using Data Mining Techniques

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