Razvoj modela za podporo odločanja na področju duševnega zdravja

Abstract

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Language:	Slovenian
Year of publishing:	2014
Typology:	2.09 - Master's Thesis
Organization:	FIŠ - Faculty of Information Studies
Publisher:	[D. Kovačevič Rudolf]
UDC:	004.8(043.2)
COBISS:	2048276243
Views:	2
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Secondary language:	English
Secondary abstract:	In the thesis we discuss text mining as the process of data mining developed by scientific approach of machine learning and statistics. The thesis research dealt with the problem of extracting useful knowledge from unstructured text sources for the purpose of the diagnosis in the medical field, specifically in the field of mental health. The paper first describe the mining of texts, so-called text mining, and some of the main methods to present the domain of diagnosis and challenges in the field of mental health and on the basis of the methodology that we have developed, we have prepared a model of the data acquired from text sources, which is designed to support decision-making in medicine. Master's thesis explores the extraction of information from textual sources using text mining tools as appropriate to assist in the medicine diagnosis.
Secondary keywords:	data mining;text mining;diagnose;decision support;
Type (COBISS):	Master's thesis/paper
Thesis comment:	Fakulteta za informacijske študije v Novem mestu
Source comment:	Na ov.: Magistrska naloga : študijskega programa druge stopnje;
Pages:	88 str., [26] str. pril.
ID:	10950648