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AI driven prediction of burnout syndrome in IT professionals
ID Isajloska, Keti (Author), ID Tomat, Luka (Mentor) More about this mentor... This link opens in a new window, ID Indihar Štemberger, Mojca (Member of the commission for defense), ID Budler, Marko (Member of the commission for defense)

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MD5: 97D31EA7ED4C7DF38DBC78DD66302766

Language:English
Keywords:personnel, health, burnout, forecasting, artificial intelligence, machine learning, cases, analysis
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:EF - School of Economics and Business
Place of publishing:Ljubljana
Publisher:K. Isajloska
Year:2026
Number of pages:1 spletni vir (1 datoteka PDF (IV, 58, 32 str.)
PID:20.500.12556/RUL-189242 This link opens in a new window
UDC:004.8
COBISS.SI-ID:284624643 This link opens in a new window
Publication date in RUL:02.10.2026
Views:185
Downloads:65
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Secondary language

Language:Slovenian
Title:Napovedovanje sindroma izgorelosti pri IT-strokovnjakih s pomočjo umetne inteligence
Keywords:kadri, zdravje, izgorelost, predvidevanje, umetna inteligenca, strojno učenje, primeri, analiza

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