Выбор терапии онкологического заболевания в подгруппах пациентов на основе анализа замкнутых описаний

С. 352–359.

Korepanova N., Kuznetsov S.

The main tools of modern evidence-based medicine in comparing different treatments of lethal diseases are statistical criteria applied to results of randomized studies. However, important information is often lost in this kind of studies. In this paper we propose an approach to treatment selection in subgroups of patients given by similarity of their physiological and clinical descriptions. This similarity is naturally described by closed descriptions in terms of so called pattern structures. 

Keywords: subgroup analysis, closed descriptions, выбор терапии, анализ подгрупп, замкнутые описания

Publication based on the results of: Mining Data with Complex Structure and Semantic Technologies (2016)

In book

Пятнадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2016 (3-7 октября 2016г., г.Смоленск, Россия): Труды конференции

Т. 1. , Смоленск: Универсум, 2016.