HIV Drug-Resistant Patient Information Management, Analysis, and Interpretation.
HIV Drug-Resistant Patient Information Management, Analysis, and Interpretation.
复制标题
DOI：
10.2196/resprot.1930
复制
发表时间：
2012-06-07
影响因子：
1.7
通讯作者：
Mars M
中科院分区：
文献类型：
--
作者：
Singh Y;Mars M
信息系统、管理和解释的科学在患者护理的连续性中起着重要的作用。这在治疗人类免疫缺陷病毒(HIV)和获得性免疫缺陷综合征(AIDS)方面变得更加明显，这是撒哈拉以南非洲的主要死亡原因。艾滋病毒的高复制率、选择性压力和耐药株的初始感染表明，耐药性将不可避免地成为一个重要的卫生保健问题。本文描述了一项拟议的研究，目的是开发一种医生管理的、基于人工智能的决策支持系统工具，以促进抗逆转录病毒治疗患者的管理。这个工具将包括(1)一个人工智能计算机程序，它将从基因组分析中确定艾滋病毒耐药性信息；(2)一个机器学习算法，它可以根据基因组序列预测未来的CD4计数信息；以及(3)将这些工具集成到电子医疗记录中进行存储和管理。该项目的目的是创建一种电子工具，帮助临床医生管理和解释患者信息，以确定抗药性艾滋病毒患者的最佳治疗方案。
The science of information systems, management, and interpretation plays an important part in the continuity of care of patients. This is becoming more evident in the treatment of human immunodeficiency virus (HIV) and acquired immune deficiency syndrome (AIDS), the leading cause of death in sub-Saharan Africa. The high replication rates, selective pressure, and initial infection by resistant strains of HIV infer that drug resistance will inevitably become an important health care concern. This paper describes proposed research with the aim of developing a physician-administered, artificial intelligence-based decision support system tool to facilitate the management of patients on antiretroviral therapy. This tool will consist of (1) an artificial intelligence computer program that will determine HIV drug resistance information from genomic analysis; (2) a machine-learning algorithm that can predict future CD4 count information given a genomic sequence; and (3) the integration of these tools into an electronic medical record for storage and management. The aim of the project is to create an electronic tool that assists clinicians in managing and interpreting patient information in order to determine the optimal therapy for drug-resistant HIV patients.