Validation of a new multiple osteochondromas classification through Switching Neural Networks

American Journal of Medical Genetics, Part A

Volumn 161, Issue 3, 2013, Pages 556-560

  Mordenti, Marina ^a   Ferrari, Enrico ^b   Pedrini, Elena ^a   Fabbri, Nicola ^c   Campanacci, Laura ^a   Muselli, Marco ^d   Sangiorgi, Luca ^a  

^a RIZZOLI ORTHOPAEDIC INSTITUTE   (Italy)

^b IMPARA Srl   (Italy)

^c MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

^d CNR   (Italy)

Author keywords

EXT1 EXT2; Genotype phenotype correlation; Multiple osteochondromas; Patients classification; Switching neural network

Indexed keywords

ACCURACY; ADOLESCENT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHILD; CLASSIFICATION ALGORITHM; CLINICAL EVALUATION; CLINICAL FEATURE; CONTROLLED STUDY; DISEASE CLASSIFICATION; DISEASE EXACERBATION; DISEASE SEVERITY; FEMALE; GENOTYPE PHENOTYPE CORRELATION; HEREDITARY MULTIPLE EXOSTOSIS; HUMAN; INSTRUMENT VALIDATION; MAJOR CLINICAL STUDY; MALE; PATIENT ASSESSMENT; PRESCHOOL CHILD; PRIORITY JOURNAL; PROCESS DEVELOPMENT; RISK ASSESSMENT; RISK FACTOR;

ADOLESCENT; ADULT; AGED; CHILD; CLUSTER ANALYSIS; COMPUTER SIMULATION; EXOSTOSES, MULTIPLE HEREDITARY; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); YOUNG ADULT;

EID: 84874210289     PISSN: 15524825     EISSN: 15524833     Source Type: Journal    
DOI: 10.1002/ajmg.a.35819     Document Type: Article

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