Extracting recurrent scenarios from narrative texts using a Bayesian network: Application to serious occupational accidents with movement disturbance

Accident Analysis and Prevention

Volumn 70, Issue , 2014, Pages 155-166

  Abdat, F ^a   Leclercq, S ^a   Cuny, X ^b   Tissot, C ^a  

^a INSTITUT NATIONAL DE RECHERCHE ET DE SÉCURITÉ   (France)

^b Bioinformatique et Chimie Moléculaire   (France)

Author keywords

Bayesian network; Narrative text; Occupational accident with movement disturbance; Recurrent scenarios

Indexed keywords

ACCIDENTS; BAYESIAN NETWORKS; CLUSTERING ALGORITHMS;

ANALYSIS FRAMEWORKS; FAIR REPRESENTATION; LOGICAL COMBINATION; MOST PROBABLE EXPLANATION; NARRATIVE TEXT; OCCUPATIONAL ACCIDENT; PROBABILISTIC APPROACHES; RECURRENT SCENARIOS;

OCCUPATIONAL RISKS;

ACCIDENTS, OCCUPATIONAL; BAYES THEOREM; BUILDING INDUSTRY; HUMAN; METALLURGY; MOVEMENT (PHYSIOLOGY); OCCUPATIONAL INJURIES; RISK FACTOR; STATISTICAL MODEL; VERBAL COMMUNICATION;

ACCIDENTS, OCCUPATIONAL; BAYES THEOREM; CONSTRUCTION INDUSTRY; HUMANS; METALLURGY; MODELS, STATISTICAL; MOVEMENT; NARRATION; OCCUPATIONAL INJURIES; RISK FACTORS;

EID: 84899574250     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2014.04.004     Document Type: Article

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