Rare disease registries classification and characterization: A data mining approach

Public Health Genomics

Volumn 18, Issue 2, 2015, Pages 113-122

  Santoro, Michele ^a,g   Coi, Alessio ^a,d   Lipucci Di Paola, Michele ^b,f   Bianucci, Anna Maria ^c   Gainotti, Sabina ^e   Mollo, Emanuela ^e   Taruscio, Domenica ^e   Vittozzi, Luciano ^e   Bianchi, Fabrizio ^a,b  

^a National Council of Research   (Italy)

^b Fondazione Toscana Gabriele Monasterio   (Italy)

^c UNIVERSITY OF PISA   (Italy)

^d National Consortium for Science and Technology of Materials   (Italy)

^e ISTITUTO SUPERIORE DI SANITÀ   (Italy)

^f Plateforme Maladies Rares   (France)

^g INSTITUTE OF CLINICAL PHYSIOLOGY   (Italy)

Author keywords

Cluster analysis; Data mining; Random forest; Rare disease registries

Indexed keywords

ANALYSIS; ARTICLE; CLASSIFICATION; CLUSTER ANALYSIS; CONSENSUS; CONSENSUS DEVELOPMENT; DATA ANALYSIS; DATA MINING; DISEASE REGISTRY; ETHICS; GENETICS; HEALTH CARE POLICY; HUMAN; INFORMATION; INFORMATION PROCESSING; INTERPERSONAL COMMUNICATION; PRIORITY JOURNAL; PUBLIC HEALTH; RANDOM FOREST; RARE DISEASE; REGISTER; STATISTICAL ANALYSIS; EUROPE; INFORMATION DISSEMINATION; INTERNATIONAL COOPERATION; OUTCOME ASSESSMENT; PROCEDURES; RARE DISEASES; RESEARCH; STANDARDS; STATISTICS AND NUMERICAL DATA; TOTAL QUALITY MANAGEMENT;

DATA COLLECTION; DATA MINING; EUROPE; HUMANS; INFORMATION DISSEMINATION; INTERNATIONAL COOPERATION; OUTCOME ASSESSMENT (HEALTH CARE); PUBLIC HEALTH; QUALITY IMPROVEMENT; RARE DISEASES; REGISTRIES; RESEARCH;

EID: 84924271551     PISSN: 16624246     EISSN: 16628063     Source Type: Journal    
DOI: 10.1159/000369993     Document Type: Article

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