An intelligent system for the classification of postoperative pleural effusion between 4 and 30 days using medical knowledge discovery.

GÜLDOĞAN E., ARSLAN A. K., ÇOLAK M. C., ÇOLAK C., ERDİL N.

BIOMEDICAL RESEARCH-INDIA, cilt.28, sa.4, ss.1553-1556, 2017 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 28 Sayı: 4
  • Basım Tarihi: 2017
  • Dergi Adı: BIOMEDICAL RESEARCH-INDIA
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Chemical Abstracts Core
  • Sayfa Sayıları: ss.1553-1556
  • İnönü Üniversitesi Adresli: Evet

Özet

Objective: Pleural Effusion (PE) is a considerable and a common health problem. The classification of this condition is of great importance in terms of clinical decision making. The purpose of the study is to design an intelligent system for the classification of postoperative pleural effusion between 4 and 30 days after surgery by medical knowledge discovery (MKD) methods.