Scholarlink

Significantly enhancing patient outcomes hinges on the timely detection and diagnosis of liver disease. This project centers on the development of a sophisticated machine learning model designed to predict the presence of liver disease in patients based on their medical data. A comprehensive analysis of various machine learning algorithms will be conducted, with the goal of identifying the most effective one. This research aims to make pivotal contributions by fostering the creation of a cost-effective and efficient tool for the early detection and diagnosis of liver disease. The potential impact of this tool extends beyond mere cost savings, with the prospect of saving lives and elevating health outcomes for millions of individuals.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Early Detection of Liver Diseases Using Machine Learning

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Benita Christopher,
  • Khyati Marwah,
  • Rupinder Pal Kaur,
  • Shahra Jafar,
  • Mohamed Aaqil Shiraz

摘要

Significantly enhancing patient outcomes hinges on the timely detection and diagnosis of liver disease. This project centers on the development of a sophisticated machine learning model designed to predict the presence of liver disease in patients based on their medical data. A comprehensive analysis of various machine learning algorithms will be conducted, with the goal of identifying the most effective one. This research aims to make pivotal contributions by fostering the creation of a cost-effective and efficient tool for the early detection and diagnosis of liver disease. The potential impact of this tool extends beyond mere cost savings, with the prospect of saving lives and elevating health outcomes for millions of individuals.