Toward a complete dataset of drug-drug interaction information from publicly available sources

Ayvaz S., Horn J., Hassanzadeh O., Zhu Q., Stan J., Tatonetti N. P., ...Daha Fazla

JOURNAL OF BIOMEDICAL INFORMATICS, cilt.55, ss.206-217, 2015 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 55
  • Basım Tarihi: 2015
  • Doi Numarası: 10.1016/j.jbi.2015.04.006
  • Dergi Adı: JOURNAL OF BIOMEDICAL INFORMATICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.206-217
  • Anahtar Kelimeler: Drug-drug interaction, Record linkage, Natural language processing, Pharmacovigilance, KNOWLEDGE, TOOL
  • Yıldız Teknik Üniversitesi Adresli: Hayır

Özet

Although potential drug drug interactions (PDDIs) are a significant source of preventable drug-related harm, there is currently no single complete source of PDDI information. In the current study, all publically available sources of PDDI information that could be identified using a comprehensive and broad search were combined into a single dataset. The combined dataset merged fourteen different sources including 5 clinically-oriented information sources, 4 Natural Language Processing (NLP) Corpora, and 5 Bioinfor matics/Pharmacovigilance information sources. As a comprehensive PDDI source, the merged dataset might benefit the pharmacovigilance text mining community by making it possible to compare the representativeness of NLP corpora for PDDI text extraction tasks, and specifying elements that can be useful for future PDDI extraction purposes.