Nomographic representation of logistic regression models: A case study using patient self-assessment data

Journal of Biomedical Informatics

Volumn 38, Issue 5, 2005, Pages 389-394

  Dreiseitl, Stephan ^a   Harbauer, Alexandra ^b   Binder, Michael ^b   Kittler, Harald ^b  

^a UNIVERSITY OF APPLIED SCIENCES UPPER AUSTRIA   (Austria)

^b Universitatsklinik fur Dermatologie   (Austria)

Author keywords

Logistic regression model; Nomogram; Nomographic decision aid; Patient self assessment

Indexed keywords

DATA PROCESSING; DATA REDUCTION; GRAPH THEORY; LOGISTICS; PATIENT TREATMENT; REGRESSION ANALYSIS; RISK ASSESSMENT;

LOGISTIC REGRESSION MODELS; MELANOMA; NOMOGRAPHIC DECISION AID; PATIENT SELF-ASSESSMENT;

NOMOGRAMS;

ARTICLE; CANCER RISK; CONTROLLED STUDY; DRAWING; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MATHEMATICAL MODEL; MELANOMA; NOMOGRAM; PRIORITY JOURNAL; QUESTIONNAIRE; RISK ASSESSMENT; SELF EVALUATION; STATISTICAL ANALYSIS;

ALGORITHMS; AUSTRIA; DATABASES, FACTUAL; DECISION SUPPORT SYSTEMS, CLINICAL; DIAGNOSIS, COMPUTER-ASSISTED; EXPERT SYSTEMS; HUMANS; INCIDENCE; MELANOMA; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PROGNOSIS; REGRESSION ANALYSIS; RETROSPECTIVE STUDIES; RISK ASSESSMENT; RISK FACTORS; ROC CURVE; SELF-EXAMINATION;

EID: 26044455643     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2005.02.006     Document Type: Article

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