Introduction. Currently, the problem of HIV infection remains relevant due to the growing number of patients in the world, the variety of clinical manifestations of the disease that make early diagnosis difficult. In modern literature, the correlation between social status, medical history, various addictions (alcohol, drug addiction) of patients, as well as a number of laboratory and clinical factors and the risk of an unfavorable outcome among hospitalized HIV-patients has not been sufficiently studied. Objective. To identify significant predictors of adverse outcomes in HIV infection and develop an expert risk assessment scale for adverse disease progression in patients with HIV infection receiving specialized medical care. Materials and Methods. A retrospective comparative analysis was conducted between 2015 and 2019, examining various anamnesis, clinical, laboratory, and psychosocial factors in 1,429 HIV-infected patients, depending on the disease outcome during hospitalization. The study employed χ2 hypothesis testing and machine learning software "Foresight. Analytical Platform." Results. The study identified 18 risk factors with statistically significant associations (p