HIV/AIDS predictive model using random forest based on socio-demographical, biological and behavioral data
Since the beginning of the AIDS epidemic, the HIV virus has infected millions of people, and the count is on the rise with every passing day. This epidemic has affected not only the children and adults but also infants born to HIV positive mothers. Unfortunately, there is no cure for HIV/AIDS; howev...
Main Authors: | Sehar Un Nisa, Azhar Mahmood, Farhan Sabir Ujager, Mehwish Malik |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-03-01
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Series: | Egyptian Informatics Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110866522000834 |
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