Predicting critical illness mortality and personalizing therapy: Moving to multi-dimensional data

Critical Care

Volumn 21, Issue 1, 2017, Pages

  Puthucheary, Zudin A ^a   Wischmeyer, Paul ^b,c  

^a UNIVERSITY COLLEGE LONDON HOSPITALS   (United Kingdom)

^b DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c DUKE CLINICAL RESEARCH INSTITUTE   (United States)

Author keywords

Intensive care; Mortality; Skeletal muscle

Indexed keywords

ADIPOSE TISSUE; CHRONIC DISEASE; COMPUTER ASSISTED TOMOGRAPHY; CRITICAL ILLNESS; DISEASE SEVERITY; ECHOGRAPHY; EDITORIAL; FUNCTIONAL STATUS; HUMAN; INTENSIVE CARE; LENGTH OF STAY; LIPID STORAGE; MORTALITY; MUSCLE MASS; NUTRITIONAL REQUIREMENT; PERSONALIZED MEDICINE; PROGNOSIS; SKELETAL MUSCLE; DECISION SUPPORT SYSTEM; INTENSIVE CARE UNIT; ORGANIZATION AND MANAGEMENT; PROCEDURES; STATISTICS; TRENDS;

CRITICAL ILLNESS; DECISION SUPPORT TECHNIQUES; HUMANS; INTENSIVE CARE UNITS; PRECISION MEDICINE; STATISTICS AS TOPIC;

EID: 85011003520     PISSN: 13648535     EISSN: 1466609X     Source Type: Journal    
DOI: 10.1186/s13054-016-1597-6     Document Type: Editorial

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