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, vol.28, no.4, pp.1553-1556, 2017 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 28 Issue: 4
  • Publication Date: 2017
  • Journal Name: BIOMEDICAL RESEARCH-INDIA
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Chemical Abstracts Core
  • Page Numbers: pp.1553-1556
  • Inonu University Affiliated: Yes

Abstract

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.