Use of a Bayesian Network to Predict the Nighttime Intraocular Pressure Peak from Daytime Measurements

Clinical Therapeutics

Volumn 29, Issue 8, 2007, Pages 1751-1760

  Nordmann, Jean Philippe ^a,b   Berdeaux, Gilles ^b,c  

^a CENTRE HOSPITALIER NATIONAL D OPHTALMOLOGIE DES QUINZE VINGTS   (France)

^b Alcon France ^*  (France)

^c University of Paris Cité   (France)

Author keywords

Bayesian network; daily intraocular pressure control; glaucoma; latanoprost; travoprost

Indexed keywords

LATANOPROST; PROSTAGLANDIN DERIVATIVE; TRAVOPROST;

ADULT; AGED; ARTICLE; BAYES THEOREM; CONTROLLED STUDY; CORRELATION ANALYSIS; FEMALE; GLAUCOMA; HUMAN; INTRAOCULAR HYPERTENSION; INTRAOCULAR PRESSURE; MAJOR CLINICAL STUDY; MALE; PREDICTION; PRESSURE MEASUREMENT; PROBABILITY; RISK ASSESSMENT;

ADULT; AGED; AGED, 80 AND OVER; ANTIHYPERTENSIVE AGENTS; BAYES THEOREM; CIRCADIAN RHYTHM; CLOPROSTENOL; FEMALE; GLAUCOMA; HUMANS; INTRAOCULAR PRESSURE; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; OCULAR HYPERTENSION; PROSTAGLANDINS F, SYNTHETIC; REPRODUCIBILITY OF RESULTS; TREATMENT OUTCOME;

EID: 34848844905     PISSN: 01492918     EISSN: 1879114X     Source Type: Journal    
DOI: 10.1016/j.clinthera.2007.08.012     Document Type: Article

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