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Exploring the Important Attributes of Human Immunodeficiency Virus and Generating Decision Rules

Department of Information Management, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan
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Symmetry 2020, 12(1), 67; https://doi.org/10.3390/sym12010067
Received: 11 December 2019 / Revised: 25 December 2019 / Accepted: 25 December 2019 / Published: 1 January 2020
Acquired Immunodeficiency Syndrome (AIDS) is the most severe phase of Human Immunodeficiency Virus (HIV) infection. Living with HIV results in a weakened immune system, with AIDS being the final stage of HIV and puzzling the world. The current medical environment remains unable to effectively cure AIDS, with treatment depending on long-term antiretroviral therapy (ART). To effectively treat and prevent HIV, it is important to elucidate the key factors of HIV propagation. This study proposes a rough set classifier based on adding recency (R) (i.e., the last physician visit), frequency (F) (i.e., the frequency of medical visits), and monetary (M) (i.e., medication adherence) attributes and integrated attribute selection methods to generate discriminatory rules and find the core attributes of HIV. The collected data consist of 1308 HIV infection records from Taiwan. From the experimental results, the frequency of CD4+ cells in the peripheral blood is able to determine patient medication, treatment willingness, and HIV infection stages, because HIV patients are less likely to be willing to receive long-term ART. Furthermore, drug abuse is found to be the greatest cause of HIV infection. These results show that the additional RFM attributes can improve classification accuracy, with the core attributes being M, R, plasma viral load (PVL) and age. Hence, we suggest that clinical physicians use these core attributes to understand the HIV infection stages. View Full-Text
Keywords: Acquired Immunodeficiency Syndrome (AIDS); Human Immunodeficiency Virus (HIV); attribute selection; rough set classifier; recency, frequency, and monetary (RFM) Acquired Immunodeficiency Syndrome (AIDS); Human Immunodeficiency Virus (HIV); attribute selection; rough set classifier; recency, frequency, and monetary (RFM)
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MDPI and ACS Style

Cheng, C.-H.; Wang, Y.-C. Exploring the Important Attributes of Human Immunodeficiency Virus and Generating Decision Rules. Symmetry 2020, 12, 67. https://doi.org/10.3390/sym12010067

AMA Style

Cheng C-H, Wang Y-C. Exploring the Important Attributes of Human Immunodeficiency Virus and Generating Decision Rules. Symmetry. 2020; 12(1):67. https://doi.org/10.3390/sym12010067

Chicago/Turabian Style

Cheng, Ching-Hsue, and Yun-Chun Wang. 2020. "Exploring the Important Attributes of Human Immunodeficiency Virus and Generating Decision Rules" Symmetry 12, no. 1: 67. https://doi.org/10.3390/sym12010067

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