IJFANS International Journal of Food and Nutritional Sciences
ISSN PRINT 2319 1775 Online 2320-7876
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Efficacy of Withania somnifera against oxidative stress in male Drosophila melanogaster.
Volume 13 | Issue 4
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Intervention Study On Cognitive Development Among School Children Of Siddi Tribe
Volume 13 | Issue 4
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ASSESSMENT OF INTRA AND INTER- EXAMINER RELIABILITY FOR PROPOSED SCALE OF MASTICATION IN CHILDREN– A PRELIMINARY STUDY
Volume 13 | Issue 4
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AI-DRIVEN APPROACH FOR MULTI CROP DISEASE CLASSIFICATION WITH PESTICIDE RECOMMENDATION SYSTEM
Volume 13 | Issue 4
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AI-based Detecting Deception In Online Interactions: An Analysis of Dishonest Internet Users for Advances In Online Security
Volume 13 | Issue 4
PREDICTION AND CLASSIFICATION OF LIVER DISEASE USING MACHINE LEARNING
Main Article Content
Abstract
Due to the quick rise in liver illness caused by excessive alcohol use, contaminated gas inhalation, drug use, tainted food, and pickled food packaging, a doctor can make an automatic forecast with the aid of a medical expert system. Early liver disease prediction is now attainable because to the consistent advancements in machine learning technology, allowing for simple early identification of the fatal condition
