Personalized risk scoring for critical care prognosis using mixtures of Gaussian processes

IEEE Transactions on Biomedical Engineering

Volumn 65, Issue 1, 2018, Pages 207-218

  Alaa, Ahmed M ^a   Yoon, Jinsung ^a   Hu, Scott ^b   Van Der Schaar, Mihaela ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Critical care medicine; Personalized medicine; Prognosis; Sequential hypothesis testing

Indexed keywords

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); INTENSIVE CARE UNITS; PHYSIOLOGICAL MODELS;

CRITICAL CARE MEDICINE; ELECTRONIC HEALTH RECORD; GAUSSIAN PROCESSES; PERSONALIZED MEDICINES; POSITIVE PREDICTIVE VALUES; PROGNOSIS; SEQUENTIAL HYPOTHESIS TESTING; TRUE POSITIVE RATES;

DIAGNOSIS;

APACHE; ARTICLE; ELECTRONIC HEALTH RECORD; HUMAN; ICD-9; INTENSIVE CARE; KERNEL METHOD; MAJOR CLINICAL STUDY; PERSONALIZED MEDICINE; PROGNOSIS; SCORING SYSTEM; SEQUENTIAL ORGAN FAILURE ASSESSMENT SCORE; TRANSFER OF LEARNING; FACTUAL DATABASE; FEMALE; MALE; NORMAL DISTRIBUTION; PROCEDURES; RISK ASSESSMENT; SEVERITY OF ILLNESS INDEX;

CRITICAL CARE; DATABASES, FACTUAL; FEMALE; HUMANS; MALE; NORMAL DISTRIBUTION; PRECISION MEDICINE; PROGNOSIS; RISK ASSESSMENT; SEVERITY OF ILLNESS INDEX;

EID: 85041956992     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2017.2698602     Document Type: Article

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