magistrska naloga

Povzetek

Razvoj modela za podporo odločanja na področju duševnega zdravja

Ključne besede

podatkovno rudarjenje;tekstovno rudarjenje;diagnoza;podpora pri odločanju;

Podatki

Jezik: Slovenski jezik
Leto izida:
Tipologija: 2.09 - Magistrsko delo
Organizacija: FIŠ - Fakulteta za informacijske študije v Novem mestu
Založnik: [D. Kovačevič Rudolf]
UDK: 004.8(043.2)
COBISS: 2048276243 Povezava se bo odprla v novem oknu
Št. ogledov: 2
Št. prenosov: 0
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarni povzetek: 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.
Sekundarne ključne besede: data mining;text mining;diagnose;decision support;
Vrsta dela (COBISS): Magistrsko delo/naloga
Komentar na gradivo: Fakulteta za informacijske študije v Novem mestu
Komentar vira: Na ov.: Magistrska naloga : študijskega programa druge stopnje;
Strani: 88 str., [26] str. pril.
ID: 10950648