Development of Knowledge Base Architecture for Clinical Decision Support System Based on Graph Database

Autor:	T. V. Zarubina, T V Martyniuk, A V Potekhina, E.A. Noeva, Irina Yev Chazova, Andrey V. Zorin, Kirill V Kiselev, Oleg Vyborov, Sergey L Shvirev, Maria Osyaeva
Rok vydání:	2018
Předmět:	Development (topology) Graph database Knowledge base business.industry Computer science Architecture business Software engineering computer.software_genre Clinical decision support system computer
Zdroj:	Medical Technologies. Assessment and Choice (Медицинские технологии. Оценка и выбор). :42-48
ISSN:	2219-0678
DOI:	10.31556/2219-0678.2018.33.3.042-048
Popis:	High urgency of healthcare informatization and features of the organization of medical and diagnostic process allow searching for the ways of maintenance of medical activity information support. One of such ways is the development of clinical decision support systems based on knowledge. Among the forms of knowledge representation, a semantic network is distinguished, structurally repeating the model of graph databases that have the necessary advantages for working with knowledge.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6a6a4b8a7347ed676b3f70d4ff219640 https://doi.org/10.31556/2219-0678.2018.33.3.042-048 Zobrazit plný text záznamu