Electroshock Effects Identification Using Classification Based on Rules

Authors:
Jorge Rodas;Karina Gibert;J. Emilio Rojo
Affiliations:
-;-;-
Venue:
ISMDA '01 Proceedings of the Second International Symposium on Medical Data Analysis
Year:
2001

Citing 0
Cited 1

KDSM Methodology for Knowledge Discovery from Ill-Structured Domains Presenting Very Short and Repeated Serial Measures with Blocking Factor

CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence

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Abstract

This article focuses on results obtained from a hierarchical classification applied to a repeated short time series data in a medical ill-structured domain. The analyzed information is relative to patients -with major depressive disorders or schizophrenia- under ECT treatment; as a consequence, this information contains data corresponding to measures taken at different time, throughout a 24-hour period after an electroshock application to the patient.