Comparative Analysis of Liver diseases by using Machine Learning Techniques

D. Rajan, K. Kannan, P. Divya, S. Velliangiri
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引用次数: 2

Abstract

In a human body function of the liver is important. Many persons are suffering from liver disease, but they don't know it. The identification of liver diseases in the early stage helps a patient get better treatment. If it is not diagnosed earlier, it may lead to various health issues. To solve these issues, physicians need to examine whether the patient has been affected by liver disease or not, based on the multiple parameters. In this paper, we classify the patients who have liver disease or not by using different machine learning algorithms by comparing the performance factors and predicting the better result. The liver dataset is retrieved from the Kaggle dataset.
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利用机器学习技术对肝脏疾病的比较分析
在人体中,肝脏的功能很重要。许多人患有肝病,但他们不知道。肝脏疾病的早期识别有助于患者得到更好的治疗。如果不及早诊断,可能会导致各种健康问题。为了解决这些问题,医生需要根据多个参数来检查患者是否受到肝脏疾病的影响。在本文中,我们通过比较性能因素并预测更好的结果,使用不同的机器学习算法对患有肝脏疾病或没有肝脏疾病的患者进行分类。肝脏数据集是从Kaggle数据集检索的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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