A novel clinical expert system for chest pain risk assessment

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7888 LNAI, Issue , 2013, Pages 296-307

  Farooq, Kamran ^a   Hussain, Amir ^a   Atassi, Hicham ^a,b   Leslie, Stephen ^c   Eckl, Chris ^d   MacRae, Calum ^e   Slack, Warner ^f  

^a UNIVERSITY OF STIRLING   (United Kingdom)

^b BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

^c RAIGMORE HOSPITAL   (United Kingdom)

^d Isle of Skye   (United Kingdom)

^e BRIGHAM AND WOMEN S HOSPITAL   (United States)

^f HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Chest pain decision support system; Clinical decision support system for chest pain based on NICE Guidelines; RACPC risk assessment

Indexed keywords

AUTOMATED DIAGNOSTICS; BINARY CLASSIFICATION; CHEST PAIN; CLINICAL DECISION SUPPORT; DECISION-TREE ALGORITHM; LOGISTIC REGRESSION MODELS; PERFORMANCE IMPROVEMENTS; RISK ASSESSMENT MODELS;

ARTIFICIAL INTELLIGENCE; COGNITIVE SYSTEMS; DECISION SUPPORT SYSTEMS; DECISION TREES; EXPERT SYSTEMS; LOGISTICS; MATHEMATICAL MODELS; PATIENT TREATMENT; REGRESSION ANALYSIS; RISK ASSESSMENT;

HEALTH;

EID: 84880284159     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38786-9_34     Document Type: Conference Paper

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