Using principal component analysis to aid bayesian network development for prediction of critical care patient outcomes

Journal of Trauma - Injury, Infection and Critical Care

Volumn 71, Issue 6, 2011, Pages 1841-1849

  Crump, Cindy ^a   Silvers, Christine Tsien ^a,b   Wilson, Bruce ^a   Schlachta Fairchild, Loretta ^c   Lingley Papadopoulos, Colleen A ^a   Ashley, Jeffrey S ^d  

^a AFrame Digital Inc   (United States)

^b BOSTON CHILDREN S HOSPITAL   (United States)

^c ITelehealth   (United States)

^d US ARMY INSTITUTE OF SURGICAL RESEARCH   (United States)

Author keywords

Bayesian networks; Critical care outcome prediction; Intensive care unit patient outcomes; Principal component analysis

Indexed keywords

CHLORIDE; HEMOGLOBIN; POTASSIUM; SODIUM;

ARTICLE; BAYES THEOREM; BODY TEMPERATURE; BREATHING RATE; BURN; HEART RATE; HEMATOCRIT; HOSPITAL ADMISSION; HOSPITALIZATION; HUMAN; HYPOVOLEMIA; INFECTION; INTENSIVE CARE; INTENSIVE CARE UNIT; MAJOR CLINICAL STUDY; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PULSE PRESSURE; RETROSPECTIVE STUDY; VITAL SIGN;

ADULT; BAYES THEOREM; CAUSE OF DEATH; CRITICAL CARE; CRITICAL ILLNESS; FEMALE; HOSPITAL MORTALITY; HOSPITALS, MILITARY; HUMANS; INTENSIVE CARE UNITS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; PATIENT DISCHARGE; PREDICTIVE VALUE OF TESTS; PRINCIPAL COMPONENT ANALYSIS; RISK ASSESSMENT; SURVIVAL ANALYSIS; TRAUMA CENTERS; TREATMENT OUTCOME; WOUNDS AND INJURIES; YOUNG ADULT;

EID: 84255166619     PISSN: 00225282     EISSN: 15298809     Source Type: Journal    
DOI: 10.1097/TA.0b013e3182250184     Document Type: Article

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