Predicting cardiorespiratory instability

Critical Care

Volumn 20, Issue 1, 2016, Pages

  Pinsky, Michael R ^a,b   Clermont, Gilles ^a   Hravnak, Marilyn ^c  

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

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGE; ARTIFICIAL NEURAL NETWORK; CARDIOPULMONARY INSUFFICIENCY; CLINICAL EFFECTIVENESS; ELECTROCARDIOGRAM; GLASGOW COMA SCALE; HEALTH STATUS; HEART RATE VARIABILITY; HEMODYNAMIC MONITORING; HUMAN; INVASIVE PROCEDURE; K NEAREST NEIGHBOR; NEAR INFRARED SPECTROSCOPY; NON INVASIVE MEASUREMENT; NONHUMAN; OPTICAL BIOSENSOR; PATIENT MONITORING; PATIENT TRANSPORT; POSITIVE END EXPIRATORY PRESSURE; PREDICTIVE VALUE; PRESSURE SENSITIVE OPTICAL SENSOR; PRIORITY JOURNAL; PULSE OXIMETRY; RANDOM FOREST; REVIEW; SIGNAL PROCESSING; SUPPORT VECTOR MACHINE; VITAL SIGN; EMERGENCY MEDICINE; INTENSIVE CARE UNIT; PHYSIOLOGIC MONITORING; PHYSIOLOGY; PROCEDURES; RESPIRATORY FAILURE;

EMERGENCY MEDICINE; HUMANS; INTENSIVE CARE UNITS; MONITORING, PHYSIOLOGIC; RESPIRATORY INSUFFICIENCY; VITAL SIGNS;

EID: 84962886304     PISSN: 13648535     EISSN: 1466609X     Source Type: Journal    
DOI: 10.1186/s13054-016-1223-7     Document Type: Review

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