Methodological problems of big data and artificial intelligence in the medical specialists training

Autor:	G A Dorrer, O V Mikhailenko
Rok vydání:	2020
Předmět:	History business.industry Big data Psychology business Data science Training (civil) Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 1691:012009
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1691/1/012009
Popis:	The emergence of big data and artificial intelligence firstly in healthcare has caused considerable excitement, stating the need to improve approaches to diagnosis, prognosis, and treatment. Despite enthusiasm, the methodological assumptions underlying the movement of big data and artificial intelligence in medicine are rarely studied. This article outlines the methodological problems facing this movement. In particular, the following topics were considered: the theory of large data congestion, the limits of the algorithms action, and the phenomenology of the disease. These methodological issues demonstrate several important roles for these technologies that must be considered and studied before they are integrated into the healthcare system.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c40856f12a645ebe125632902f5657a8 https://doi.org/10.1088/1742-6596/1691/1/012009 Zobrazit plný text záznamu