Machine learning approaches to study HIV / AIDS infection : A Review

@inproceedings{Kumari2012MachineLA,
  title={Machine learning approaches to study HIV / AIDS infection : A Review},
  author={Sweta Kumari and Usha Chouhan and Sunil Kumar Suryawanshi},
  year={2012}
}
In this review, PubMed database has been explored to elucidate the problems related to HIV/AIDS, which have been solved previously using various machine learning approaches and some other techniques. Literatures from the epidemic years of HIV/AIDS till February, 2017 have been examined and problems such as prediction of HIV/AIDS protease cleavage sites and inhibitors, prediction of coreceptors usage for viral entry, development of anti-viral agents and prediction of response, resistance and… 

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