Computational Prediction of Subjective Human Immunodeficiency Virus Status in Malawi Using a Random Forest Approach
An individual’s subjective judgment about his or her Human Immunodeficiency Virus status depends on certain factors, behavioral, health, and sociodemographic alike. This paper aims to develop a model with good accuracy for predicting subjective HIV infection status using the random forest approach....
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
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| Series: | AIDS Research and Treatment |
| Online Access: | http://dx.doi.org/10.1155/2019/5849183 |
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