Predicting end-stage renal disease: Bayesian perspective of information transfer in the clinical decision-making process at the individual level

Kidney International

Volumn 63, Issue 5, 2003, Pages 1924-1933

  Dimitrov, Borislav D ^a   Perna, Annalisa ^b   Ruggenenti, Piero ^b   Remuzzi, Giuseppe ^b  

^a MARIO NEGRI INST PHARMACOL RES   (Italy)

^b NONE

Author keywords

Bayesian approach; Decision tree models; ESRD; Individual risk; Probability; Risk factors

Indexed keywords

PROTEIN;

ARTICLE; BAYES THEOREM; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; EPIDEMIOLOGICAL DATA; HEALTH STATUS; HUMAN; KIDNEY FAILURE; MEDICAL DECISION MAKING; PREVALENCE; PRIORITY JOURNAL; PROTEIN URINE LEVEL; RANDOMIZED CONTROLLED TRIAL; RISK ASSESSMENT; RISK FACTOR; SIMULATION; SYSTOLIC BLOOD PRESSURE; THEORY; UNITED STATES;

EID: 0037407516     PISSN: 00852538     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1523-1755.2003.00923.x     Document Type: Article

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