估计
人类免疫缺陷病毒(HIV)
投影(关系代数)
计算机科学
选择(遗传算法)
领域(数学)
多样性(政治)
数据科学
数据挖掘
计量经济学
风险分析(工程)
运筹学
医学
机器学习
数学
病毒学
工程类
政治学
算法
系统工程
法学
纯数学
作者
Lu Tang,Kaiyuan Sun,Fangfang Chen,D M Li
出处
期刊:PubMed
[National Institutes of Health]
日期:2019-06-10
卷期号:40 (6): 731-738
被引量:1
标识
DOI:10.3760/cma.j.issn.0254-6450.2019.06.024
摘要
Due to the continuous improvement on HIV surveillance system and the diversity of data sources, various methodologies on estimation and projection of HIV/AIDS present greater contribution in exploring the natural history and related burden of HIV in the future. Different kinds of methods have been developed by professionals, both at home and abroad. This paper reviews the rationale, requirement, application, strength and limitation of the related methodologies that have been widely used in this field, to provide reference and evidence for the application and selection of related methodologies in the future.
科研通智能强力驱动
Strongly Powered by AbleSci AI