A survey on data mining and machine learning techniques for diagnosing hepatitis disease

IF 0.7 Q4 ENGINEERING, BIOMEDICAL

International Journal of Biomedical Engineering and Technology Pub Date : 2023-01-01 DOI:10.1504/ijbet.2023.10056075

Tazeen Tasneem, Shuxiang Xu, Mir Md. Jahangir Kabir, Tabeen Tasneem

引用次数: 0

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肝炎疾病诊断的数据挖掘与机器学习技术综述

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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来源期刊

International Journal of Biomedical Engineering and Technology ENGINEERING, BIOMEDICAL-

CiteScore

1.60

自引率

0.00%

发文量

期刊介绍： IJBET addresses cutting-edge research in the multi-disciplinary area of biomedical engineering and technology. Medical science incorporates scientific/technological advances combining to produce more accurate diagnoses, effective treatments with fewer side effects, and improved ability to prevent disease and provide superior-quality healthcare. A key field here is biomedical engineering/technology, offering a synthesis of physical, chemical, mathematical and computational sciences combined with engineering principles to enhance R&D in biology, medicine, behaviour, and health. Topics covered include Artificial organs Automated patient monitoring Advanced therapeutic and surgical devices Application of expert systems and AI to clinical decision making Biomaterials design Biomechanics of injury and wound healing Blood chemistry sensors Computer modelling of physiologic systems Design of optimal clinical laboratories Medical imaging systems Sports medicine.