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

GÜLDOĞAN, EMEK; ARSLAN, AHMET; ÇOLAK, MEHMET; ÇOLAK, CEMİL; ERDİL, NEVZAT

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, Scopus)

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.