Real-time prediction of acute cardiovascular events using hardware-implemented Bayesian networks

Computers in Biology and Medicine

Volumn 69, Issue , 2016, Pages 245-253

  Tylman, Wojciech ^a   Waszyrowski, Tomasz ^b,c   Napieralski, Andrzej ^a   Kamiński, Marek ^a   Trafidło, Tamara ^b   Kulesza, Zbigniew ^a   Kotas, Rafał ^a   Marciniak, Paweł ^a   Tomala, Radosław ^a   Wenerski, Maciej ^a  

^a LODZ UNIVERSITY OF TECHNOLOGY   (Poland)

^b Norbert Barlicki Univ Clinical Hospital No 1 in Łódź ^*  (Poland)

^c Balfour Hospital ^*  (United Kingdom)

Author keywords

Bayesian networks; Cardiology; Decision support; Embedded systems; Sudden cardiac arrest

Indexed keywords

ACCIDENTS; ARTIFICIAL INTELLIGENCE; BLOOD PRESSURE; CARDIOLOGY; DECISION SUPPORT SYSTEMS; EMBEDDED SYSTEMS;

ARTIFICIAL INTELLIGENCE ALGORITHMS; CARDIOVASCULAR EVENT; DECISION SUPPORTS; EMERGENCY DEPARTMENTS; MEDICAL TEAMS; MICROPROCESSOR-BASED DEVICES; REAL-TIME PREDICTION; SUDDEN CARDIAC ARREST;

BAYESIAN NETWORKS;

ARTICLE; BAYESIAN LEARNING; BLOOD PRESSURE; BODY TEMPERATURE; BREATHING RATE; CARDIOVASCULAR DISEASE; COMPUTER PREDICTION; CONSCIOUSNESS LEVEL; DECISION SUPPORT SYSTEM; ELECTROCARDIOGRAM; ELECTROCARDIOGRAPHY; EMERGENCY WARD; EVIDENCE BASED MEDICINE; GENERAL CONDITION; GENETIC ALGORITHM; HEART RATE; PATIENT CODING; PRIORITY JOURNAL; PULSE OXIMETRY; QRS COMPLEX; SUDDEN CARDIAC DEATH; SYSTOLIC BLOOD PRESSURE; ACUTE DISEASE; BAYES THEOREM; BIOLOGICAL MODEL; CARDIOVASCULAR DISEASES; DEVICES; FEMALE; HUMAN; MALE; PATHOPHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING;

ACUTE DISEASE; BAYES THEOREM; CARDIOVASCULAR DISEASES; DECISION SUPPORT TECHNIQUES; ELECTROCARDIOGRAPHY; FEMALE; HUMANS; MALE; MODELS, CARDIOVASCULAR; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84957840284     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2015.08.015     Document Type: Article

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