PREDICTION OF HIV-1 PROGRESSION USING K NEAREST NEIGHBOR MACHINE LEARNING ALGORITHM

Abstract

In the health context, the method of a teaching machine was used to identify possible candidates for preliminary prevention (preliminary preliminary). The technology of artificial intelligence  has greatly affected the progress of the medical area. In the ConnectionOfConcept phase, the use of other types contains machine learning with Smart Componregated and Social Media, and guarantees real-time risk to ensure the disclosure of HIV Sero, as well as virtual reality technology, as well as HIV chatbots. Studies on HIV ML's prevention are also used in duke production. progress. HIV  can be predicted using algorithms and machine learning  methodologies.