Computational gene mapping to analyze continuous automated physiologic monitoring data in neuro-trauma intensive care

Journal of Trauma and Acute Care Surgery

Volumn 73, Issue 2, 2012, Pages 419-425

  Stein, Deborah M ^a   Hu, Peter F ^a   Chen, Hegang H ^a   Yang, Shiming ^a   Stansbury, Lynn G ^a   Scalea, Thomas M ^a  

^a UNIVERSITY OF MARYLAND SCHOOL OF MEDICINE   (United States)

Author keywords

electronic monitoring; machine learning; microarray analysis; Structured machine learning; vital signs monitoring

Indexed keywords

ADULT; ARTICLE; BLOOD PRESSURE; CALCULATION; COHORT ANALYSIS; DATA ANALYSIS; DISEASE SEVERITY; ELECTRONIC MEDICAL RECORD; FEMALE; GENE MAPPING; GLASGOW OUTCOME SCALE; HOSPITALIZATION; HUMAN; INTENSIVE CARE UNIT; INTRACRANIAL PRESSURE; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL MODEL; MORTALITY; NEUROMONITORING; OUTCOME ASSESSMENT; PRIORITY JOURNAL; TRAUMATIC BRAIN INJURY;

ADOLESCENT; ADULT; AUTOMATIC DATA PROCESSING; BLOOD PRESSURE; BRAIN INJURIES; CHROMOSOME MAPPING; COHORT STUDIES; CRITICAL ILLNESS; FEMALE; HUMANS; INJURY SEVERITY SCORE; INTENSIVE CARE; INTENSIVE CARE UNITS; INTRACRANIAL PRESSURE; MALE; MIDDLE AGED; MONITORING, PHYSIOLOGIC; PILOT PROJECTS; POINT-OF-CARE SYSTEMS; PREDICTIVE VALUE OF TESTS; PROGNOSIS; PROTEIN ARRAY ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SURVIVAL ANALYSIS; VITAL SIGNS; YOUNG ADULT;

EID: 84864590184     PISSN: 21630755     EISSN: 21630763     Source Type: Journal    
DOI: 10.1097/TA.0b013e31825ff59a     Document Type: Article

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