Liver Disease Prediction using Machine learning Algorithms

kajal shah; Harsha Talele; Tanuja Patil; Jyoti Shirole; Pooja Bhavsar

Liver Disease Prediction using Machine learning Algorithms

Authors: kajal shah, Harsha Talele, Tanuja Patil, Jyoti Shirole, Pooja Bhavsar

Unique Paper ID: 155701
Volume: 9
Issue: 1
PageNo: 0-0

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 â€œcomplexâ€ patients infected with liver disease

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ISSN: 2349-6002
Volume: 9
Issue: 1
PageNo: 0-0

Liver Disease Prediction using Machine learning Algorithms

Available:https://ijirt.org/Article?manuscript=155701

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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