Liver Disease Prediction using Machine learning Algorithms

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Liver Disease Prediction using Machine learning Algorithms
Author(s):
kajal shah, Harsha Talele, Tanuja Patil, Jyoti Shirole, Pooja Bhavsar
Keywords:
DT Algorithms, KNN Algorithms, Liver Disease, MLP Classifier, SVM Algorithms
Abstract
Diseases related to the liver and heart are becoming more and more familiar with time. With continuous technological advancements, these will only increase in the future. Although people are becoming more conscious of health nowadays and are joining yoga classes and dance classes, still the sedentary lifestyle and luxuries that are continuously being introduced and enhanced, the problem is going to last long. Population ageing and the increase of chronic conditions incidence and prevalence produce a higher risk of hospitalization or death due to liver disease. This is exceptionally high for patients with multi-morbidity, leading to significant resource consumption. The most crucial challenge is to identify possible high-risk patients to improve health care service provision and also to reduce costs. Nowadays, population health management, based on intelligent models, can be used to assess the risk and identify these “complex” patients infected with liver disease
Article Details
Unique Paper ID: 155701 Publication Volume & Issue: Volume 9, Issue 1 Page(s): 0 - 0
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