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Volumn 11, Issue 3, 2002, Pages 101-105
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Using an artificial neural network to predict healing times and risk factors for venous leg ulcers.
a
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Author keywords
[No Author keywords available]
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Indexed keywords
ADULT;
AGE;
AGED;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
BANDAGE;
CHRONIC DISEASE;
COHORT ANALYSIS;
COMPARATIVE STUDY;
FEMALE;
HUMAN;
MALE;
METHODOLOGY;
MIDDLE AGED;
NURSING;
PHYSIOLOGY;
PREDICTION AND FORECASTING;
PROGNOSIS;
PROPORTIONAL HAZARDS MODEL;
RETROSPECTIVE STUDY;
RISK ASSESSMENT;
SENSITIVITY AND SPECIFICITY;
SEX DIFFERENCE;
TIME;
VARICOSIS;
WOUND HEALING;
ADULT;
AGE FACTORS;
AGED;
BANDAGES;
CHRONIC DISEASE;
COHORT STUDIES;
FEMALE;
HUMANS;
MALE;
MIDDLE AGED;
NEURAL NETWORKS (COMPUTER);
PREDICTIVE VALUE OF TESTS;
PROGNOSIS;
PROPORTIONAL HAZARDS MODELS;
RETROSPECTIVE STUDIES;
RISK ASSESSMENT;
SENSITIVITY AND SPECIFICITY;
SEX FACTORS;
TIME FACTORS;
VARICOSE ULCER;
WOUND HEALING;
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EID: 0036512739
PISSN: 09690700
EISSN: None
Source Type: Journal
DOI: 10.12968/jowc.2002.11.3.26381 Document Type: Article |
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Times cited : (67)
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References (0)
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