Computer Based Extraction of Phenoptypic Features of Human Congenital Anomalies from the Digital Literature with Natural Language Processing Techniques

KARAKÜLAH G., DİCLE O., SÜMER A., KOŞANER Ö., BİRANT Ç. C., BERBER T., ...Daha Fazla

Studies in Health Technology and Informatics, cilt.205, ss.570-574, 2014 (Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 205
  • Basım Tarihi: 2014
  • Doi Numarası: 10.3233/978-1-61499-432-9-570
  • Dergi Adı: Studies in Health Technology and Informatics
  • Derginin Tarandığı İndeksler: Scopus, CINAHL, Compendex, EMBASE, MEDLINE
  • Sayfa Sayıları: ss.570-574
  • Anahtar Kelimeler: Human congenital anomalies, information extraction, natural language processing, text processing, clinical decision support
  • Dokuz Eylül Üniversitesi Adresli: Evet