TY - JOUR T1 - Econometric Methods for Assessing and Predicting the Results of Treatment Process in a Large Medical Hospital A1 - Tatiana Tikhomirova A1 - Nikolay Tikhomirov JF - Entomology and Applied Science Letters JO - Entomol Appl Sci Lett SN - 2349-2864 Y1 - 2021 VL - 8 IS - 2 DO - 10.51847/QgpKeagXA8 SP - 1 EP - 7 N2 - The article considers approaches and statistical methods for assessing the probability distribution of treatment outcomes for patients in large multidisciplinary medical hospitals, depending on the factors that characterize their gender and age, the profile and severity of the disease, the type of hospitalization, the technology of treatment and its cost, and some others. Examples of such distributions have been given, formed using multinomial models of disordered multiple-choice and random forest based on large arrays of initial data that characterize the parameters of real flows of hospital patients and the results of their treatment over a long period. The obtained distributions were compared with each other in terms of quality indicators that reflect the estimates of the precision and recall of the predicted outcomes using the methods used. The reasons for the discrepancies in the quality estimates of the constructed distributions have been discussed. The possibilities of improving the approaches and methods proposed for assessing the probability of treatment outcomes of patients in medical hospitals, associated with greater detail of diagnoses, expanding the composition of the initial information, especially concerning rare outcomes, have been considered. UR - https://easletters.com/article/econometric-methods-for-assessing-and-predicting-the-results-of-treatment-process-in-a-large-medical-nf0xx3oky833m4g ER -