Application of artificial neural networks to a study of nursing burnout.

scientific article published in September 2010

Application of artificial neural networks to a study of nursing burnout. is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1080/00140139.2010.502251
P698PubMed publication ID20737334
P5875ResearchGate publication ID45828539

P50authorEva Garrosa HernándezQ79450427
Felix LadstätterQ84801379
P2093author name stringB Moreno
C Badea
P2860cites workWork stress and patient safety: observer-rated work stressors as predictors of characteristics of safety-related events reported by young nurses.Q51195837
Multilayer feedforward networks are universal approximatorsQ56020518
Approximation by superpositions of a sigmoidal functionQ56532755
The personality construct of hardiness, III: Relationships with repression, innovativeness, authoritarianism, and performanceQ34501189
Relationships between leisure-time energy expenditure and individual coping strategies for shift-workQ37442527
Application of two neural network paradigms to the study of voluntary employee turnoverQ40810261
Physiological correlates of burnout among womenQ44595088
The relationship between socio-demographic variables, job stressors, burnout, and hardy personality in nurses: an exploratory study.Q50918776
Coping processes as mediators of the relationship between hardiness and healthQ51150560
P433issue9
P921main subjectartificial neural networkQ192776
P304page(s)1085-1096
P577publication date2010-09-01
P1433published inErgonomicsQ15751107
P1476titleApplication of artificial neural networks to a study of nursing burnout
P478volume53