Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks

Artificial Intelligence in Medicine

Volumn 97, Issue , 2019, Pages 38-43

  Van Steenkiste, Tom ^a   Ruyssinck, Joeri ^a   De Baets, Leen ^a   Decruyenaere, Johan ^b   De Turck, Filip ^a   Ongenae, Femke ^a   Dhaene, Tom ^a  

^a GHENT UNIVERSITY   (Belgium)

^b GHENT UNIVERSITY HOSPITAL   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD; BRAIN; COMPUTATION THEORY; COMPUTATIONAL METHODS; FORECASTING; LEARNING ALGORITHMS; LEARNING SYSTEMS; LONG SHORT-TERM MEMORY;

ACCURATE PREDICTION; BLOODSTREAM INFECTIONS; CLINICAL PARAMETERS; COMPUTATIONAL MODEL; EARLY WARNING SYSTEM; MACHINE LEARNING MODELS; PHYSIOLOGICAL SIGNALS; RECEIVER OPERATING CHARACTERISTIC CURVES;

INTENSIVE CARE UNITS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BLOOD CULTURE; BLOODSTREAM INFECTION; DIAGNOSTIC ACCURACY; HUMAN; INTENSIVE CARE UNIT; MACHINE LEARNING; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; RISK ASSESSMENT; SEPSIS; ELECTRONIC HEALTH RECORD; ORGANIZATION AND MANAGEMENT; SHORT TERM MEMORY;

BLOOD CULTURE; ELECTRONIC HEALTH RECORDS; HUMANS; INTENSIVE CARE UNITS; MEMORY, SHORT-TERM; NEURAL NETWORKS, COMPUTER;

EID: 85056333942     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2018.10.008     Document Type: Article

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