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Volumn 214, Issue , 2015, Pages 56-61
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An Improved Patient-Specific Mortality Risk Prediction in ICU in a Random Forest Classification Framework
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Author keywords
ICU mortality prediction; random forest
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Indexed keywords
DECISION TREES;
HEALTH RISKS;
HYBRID INTEGRATED CIRCUITS;
PATIENT TREATMENT;
RISK ASSESSMENT;
HEALTH PROFESSIONALS;
PATIENT INFORMATION;
PATIENT SPECIFIC;
PREDICTION ACCURACY;
PREDICTION SYSTEMS;
RANDOM FOREST CLASSIFICATION;
RANDOM FORESTS;
STATE-OF-THE-ART ALGORITHMS;
FORECASTING;
CLASSIFICATION;
DECISION TREE;
HUMAN;
MAJOR CLINICAL STUDY;
MORTALITY;
PATIENT INFORMATION;
PREDICTION;
RANDOM FOREST;
RISK ASSESSMENT;
TIME SERIES ANALYSIS;
VALIDATION PROCESS;
VITAL SIGN;
ADULT;
AUSTRALIA;
CLINICAL DECISION SUPPORT SYSTEM;
COMPUTER SIMULATION;
CRITICAL ILLNESS;
DECISION SUPPORT SYSTEM;
EPIDEMIOLOGY;
FEMALE;
INCIDENCE;
INTENSIVE CARE;
INTENSIVE CARE UNIT;
MALE;
PATIENT CARE;
PROCEDURES;
PROPORTIONAL HAZARDS MODEL;
REPRODUCIBILITY;
SENSITIVITY AND SPECIFICITY;
STATISTICAL ANALYSIS;
STATISTICAL MODEL;
STATISTICS AND NUMERICAL DATA;
SURVIVAL ANALYSIS;
UTILIZATION;
ADULT;
AUSTRALIA;
COMPUTER SIMULATION;
CRITICAL CARE;
CRITICAL ILLNESS;
DATA INTERPRETATION, STATISTICAL;
DECISION SUPPORT SYSTEMS, CLINICAL;
DECISION SUPPORT TECHNIQUES;
FEMALE;
HUMANS;
INCIDENCE;
INTENSIVE CARE UNITS;
MALE;
MODELS, STATISTICAL;
MORTALITY;
PATIENT-CENTERED CARE;
PROPORTIONAL HAZARDS MODELS;
REPRODUCIBILITY OF RESULTS;
RISK ASSESSMENT;
SENSITIVITY AND SPECIFICITY;
SURVIVAL ANALYSIS;
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EID: 84951954932
PISSN: 09269630
EISSN: 18798365
Source Type: Book Series
DOI: 10.3233/978-1-61499-558-6-56 Document Type: Conference Paper |
Times cited : (17)
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References (9)
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