摘要
近年来,机器学习在医学领域的应用越来越广泛。在乳腺癌、糖尿病视网膜病变、神经精神疾病、动脉粥样硬化诊断和治疗方面均有新的进展。机器学习在肝病的诊断和预测方面具有很大潜力。结合患者血清学指标及影像学结果,利用机器学习的方法构建HBV相关肝病的诊断、预测模型,得到广泛的认可。旨在介绍机器学习方法在HBV相关肝病中的应用、现状、优点和进展。
Machine learning has been more and more widely used in the medical field in recent years,and new advances have been made in the diagnosis and treatment of breast cancer,diabetic retinopathy,neuropsychiatric diseases,and atherosclerosis.Machine learning is showing great potential in the diagnosis and prediction of liver diseases.With reference to patients’serological markers and imaging findings,the model established based on machine learning for the diagnosis and prediction of hepatitis B virus(HBV)-related liver diseases has been widely recognized.This article introduces the application,current status,advantages,and advances of machine learning in HBV-related liver diseases.
作者
芮法娟
薛旗
刘翠红
郭朝阳
杨红丽
刘传礼
徐琊芸
任万华
秦成勇
李婕
RUI Fajuan;XUE Qi;LIU Cuihong;GUO Zhaoyang;YANG Hongli;LIU Chuanli;XU Yayun;REN Wanhua;QIN Chengyong;LI Jie(Department of Infectious Disease,Shandong Provincial Hospital Affiliated to Shandong Frist Medical University,Jinan 250021,China;Department of Ultrasound Diagnosis and Treatment,Shandong Provincial Hospital Affiliated to Shandong Frist Medical University,Jinan 250021,China;Department of Infectious Disease,Shandong Provincial Hospital Affiliated to Shandong University,Jinan 250021,China)
出处
《临床肝胆病杂志》
CAS
北大核心
2021年第7期1686-1689,共4页
Journal of Clinical Hepatology
基金
国家自然科学基金面上项目(81970545)
国家“十三五”科技重大专项项目(2018ZX10302206-001-006)
山东省重点研发计划项目(2019GSF108145)。
关键词
机器学习
乙型肝炎病毒
肝疾病
Machine Learning
Hepatitis B Virus
Liver Diseases
