Case-based retrieval to support the treatment of end stage renal failure patients

Artificial Intelligence in Medicine

Volumn 37, Issue 1, 2006, Pages 31-42

  Montani, Stefania ^a   Portinale, Luigi ^a   Leonardi, Giorgio ^b   Bellazzi, Riccardo ^b   Bellazzi, Roberto ^c  

^a UNIVERSITY OF EASTERN PIEDMONT   (Italy)

^b UNIVERSITY OF PAVIA   (Italy)

^c Unita Operativa di Nefrologia e Dialisi   (Italy)

Author keywords

Case based retrieval; Hemodialysis; Time series similarity

Indexed keywords

DIALYSIS; FOURIER TRANSFORMS; MEDICAL PROBLEMS; PATIENT TREATMENT; TIME SERIES ANALYSIS;

CASE-BASED RETRIEVAL; HEMODIALYSIS; RENAL FAILURE; TIME-SERIES SIMILARITY;

INFORMATION RETRIEVAL;

ANALYTICAL PARAMETERS; ARTICLE; AUTOANALYSIS; CLASSIFICATION; DATA COLLECTION METHOD; DECISION SUPPORT SYSTEM; EPIDEMIOLOGICAL DATA; HEMODIALYSIS; HOSPITAL; HUMAN; INFORMATION RETRIEVAL; INTERMETHOD COMPARISON; ITALY; KIDNEY FAILURE; MATHEMATICAL COMPUTING; MEDICAL RECORD REVIEW; MONITORING; NEPHROLOGY; OUTCOMES RESEARCH; PHYSICIAN; PRACTICE GUIDELINE; PRIORITY JOURNAL; TECHNIQUE; TIME SERIES ANALYSIS; TREATMENT INDICATION; UNITED STATES;

DECISION SUPPORT SYSTEMS, CLINICAL; HEMODIALYSIS UNITS, HOSPITAL; HOSPITAL INFORMATION SYSTEMS; HUMANS; INFORMATION STORAGE AND RETRIEVAL; KIDNEY FAILURE, CHRONIC; MODELS, STATISTICAL; RENAL DIALYSIS; THERAPY, COMPUTER-ASSISTED;

EID: 33646497207     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2005.06.003     Document Type: Article

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