Mining the relationships between psychosocial factors and fatigue dimensions among registered nurses

International Journal of Industrial Ergonomics

Volumn 43, Issue 1, 2013, Pages 82-90

  Parhizi, Shaghayegh ^a   Steege, Linsey M ^a,b   Pasupathy, Kalyan S ^b  

^a Department of Electrical Engineering and Computer Science   (United States)

^b UNIVERSITY OF MISSOURI   (United States)

Author keywords

Classification tree; Data mining; Fatigue; Nurses; Psychosocial factors

Indexed keywords

AUTOMATIC INTERACTION DETECTION; CLASSIFICATION TREES; FATIGUE LEVEL; HEALTHCARE ORGANIZATIONS; JOB DEMANDS; MEDICAL ERRORS; MINING CLASSIFICATION; MULTIPLE DIMENSIONS; NURSES; PATIENT SAFETY; POLICY MAKERS; PSYCHOSOCIAL ASPECTS; PSYCHOSOCIAL FACTORS; QUALIFIED PERSONNEL; SOCIAL SUPPORT; SURVEY DATA; TREE-BASED; WORK ENVIRONMENTS;

ACCIDENT PREVENTION; DATA MINING; FATIGUE OF MATERIALS; HUMAN ENGINEERING; PERSONNEL; SOCIETIES AND INSTITUTIONS; TREES (MATHEMATICS);

NURSING;

ARTICLE; FATIGUE; JOB STRESS; MENTAL HEALTH; MENTAL STRESS; NURSING COMPETENCE; PRIORITY JOURNAL; REGISTERED NURSE; SOCIAL PSYCHOLOGY; SOCIAL SUPPORT;

EID: 84871361975     PISSN: 01698141     EISSN: 18728219     Source Type: Journal    
DOI: 10.1016/j.ergon.2012.11.010     Document Type: Article

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