Determinants predicting HIV testing among Filipino women using machine learning models with SMOTE preprocessing
Women face a greater risk of contracting HIV due to their anatomy and the impacts of gender inequality. Despite this, only 8% of Filipino women have ever tested for HIV, according to the results of the 2022 National Demographic Health Survey. This study aimed to identify the determinants of HIV test...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Animo Repository
2024
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/etdb_math/39 https://animorepository.dlsu.edu.ph/context/etdb_math/article/1042/viewcontent/2024_Arriola_Salting_Determinants_predicting_HIV_testing_among_Filipino_women_using_ma.pdf |
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| Institution: | De La Salle University |
| Language: | English |