Intelligent determination for readmission of postoperative patients in ambulatory surgery

Author

Barros, Jilliam M. Diaz ; Peña, Jairo A. Cardona

Author_Institution

Univ. del Norte, Barranquilla, Colombia

fYear

2013

fDate

4-9 Aug. 2013

Firstpage

1

Lastpage

8

Abstract

The present paper presents an intelligent system which determines the need for readmission in postoperative patients of ambulatory surgery, after being discharged. The decision made by the system depends on the answers given to a follow-up questionnaire, which includes questions related to the recovery state of the patient, and information about his/her medical records stored in a database. In order to carry out the system, Artificial Neural Networks (ANNs) were implemented to model clinical decision-making, by using different configurations of ANN, to select the one that presented the highest success rate in the decision.

Keywords

decision making; medical computing; neural nets; surgery; ANN; ambulatory surgery; artificial neural networks; clinical decision-making model; database; intelligent determination; medical records; postoperative patients; readmission; recovery state; Ambulatory surgery; Artificial neural networks; Biomedical imaging; Hemorrhaging; Monitoring; Pain; Follow-up questionnaire; intelligent decision maker; neural network; patient monitoring;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks (IJCNN), The 2013 International Joint Conference on

Conference_Location

Dallas, TX

ISSN

2161-4393

Print_ISBN

978-1-4673-6128-6

Type

conf

DOI

10.1109/IJCNN.2013.6707114

Filename

6707114