ISSN: 1948-5964
+44 1300 500008
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
Research Article
A Method for the Definition of Immunological Non-Response to Antiretroviral Therapy Based on Review Analysis and Supervised
Classification Model
Author(s): Yong Shuai*, Hemeng Peng, Xiaodong Wang and Xiaoqing Peng
Background: Immunological Non-Response (INR) accelerated the progression of AIDS disease and brought serious difficulties to the treatment of HIV-1 infected people. The current definition of INR lacked a credible consensus, which affected the diagnosis, treatment and scientific research of INR.
Methods: We systematically analyzed the open source INR related references, used visualization techniques and machine learning classification models to propose the features, models and criteria that define INR.
Results: We summarized some consensus on the definition of INR. Among the features that defined INR, CD4+ T-cell absolute number and ART time were the best feature to define INR. The supervised learning classification model had high accuracy in defining INR, and the Support Vector Machine (SVM) had the highest accurac.. View More»
DOI:
10.35248/1948-5964-22.14.005