利用数据挖掘和合成少数群体超采样技术对机器学习和集合方法进行乙型肝炎预测的比较分析

IF 3.1 Q2 MEDICAL INFORMATICS

Health and Technology Pub Date : 2023-11-29 DOI:10.1007/s12553-023-00802-x

Azadeh Alizargar, Yang-Lang Chang, Tan-Hsu Tan, Tsung-Yu Liu

引用次数: 0

摘要

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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Comparative analysis of machine learning and ensemble approaches for hepatitis B prediction using data mining with synthetic minority oversampling technique

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来源期刊

Health and Technology MEDICAL INFORMATICS-

CiteScore

7.10

自引率

0.00%

发文量

期刊介绍： Health and Technology is the first truly cross-disciplinary journal on issues related to health technologies addressing all professions relating to health, care and health technology.The journal constitutes an information platform connecting medical technology and informatics with the needs of care, health care professionals and patients. Thus, medical physicists and biomedical/clinical engineers are encouraged to write articles not only for their colleagues, but directed to all other groups of readers as well, and vice versa.By its nature, the journal presents and discusses hot subjects including but not limited to patient safety, patient empowerment, disease surveillance and management, e-health and issues concerning data security, privacy, reliability and management, data mining and knowledge exchange as well as health prevention. The journal also addresses the medical, financial, social, educational and safety aspects of health technologies as well as health technology assessment and management, including issues such security, efficacy, cost in comparison to the benefit, as well as social, legal and ethical implications.This journal is a communicative source for the health work force (physicians, nurses, medical physicists, clinical engineers, biomedical engineers, hospital engineers, etc.), the ministries of health, hospital management, self-employed doctors, health care providers and regulatory agencies, the medical technology industry, patients'' associations, universities (biomedical and clinical engineering, medical physics, medical informatics, biology, medicine and public health as well as health economics programs), research institutes and professional, scientific and technical organizations.Health and Technology is jointly published by Springer and the IUPESM (International Union for Physical and Engineering Sciences in Medicine) in cooperation with the World Health Organization.