Title
Knowledge discovery from doctor-patient relationship
Date Issued
01 January 2004
Access level
metadata only access
Resource Type
conference proceedings
Author(s)
University of Seville
Publisher(s)
Association for Computing Machinery (ACM)
Abstract
The relationship between doctors and their patients is gaining more and more importance in the health care providing. It determines the compliance of the treatment and a part of the curative process. In the psychiatry the therapeutic relationship has even more power. Therefore having a general rule that could guide doctors towards a good relation with their patients would be very useful. This paper describes experiments in automated acquisition of such a rule by means of data mining techniques. Decision rules are provided to analyze the patients' satisfaction regarding the therapeutic treatment and to recognize whether a patient belongs to a psychiatric ward or not. Data mining techniques show very satisfactory results on the experiments done with four different algorithms.
Start page
280
End page
284
Volume
1
Language
English
OCDE Knowledge area
Ciencias de la computación
Políticas de salud, Servicios de salud
Scopus EID
2-s2.0-2442443145
Source
Proceedings of the ACM Symposium on Applied Computing
ISBN of the container
978-1-4503-4486-9
Conference
Applied Computing 2004
Sources of information:
Directorio de Producción Científica
Scopus