Temporal pattern discovery in course-of-disease data

Author

Ramirez, Jorge C G ; Cook, Diane I. ; Peterson, Lynn L. ; Peterson, Dolores M.

Author_Institution

Intelligent Technol. Corp., Austin, TX, USA

Volume

19

Issue

4

fYear

2000

Firstpage

63

Lastpage

71

Abstract

Describes a system that utilizes event-set sequencing for knowledge discovery within a database of human immunodeficiency virus (HIV) patients. The authors use the development of their temporal pattern discovery system (TEMPADIS) to help understand the overall process of knowledge discovery in a medical database environment. Results are presented for a database of HIV patients. The authors discuss the overall process of knowledge discovery including data cleaning and preprocessing, data reduction and projection, and matching goals to a particular data mining method

Keywords

data mining; data reduction; diseases; medical computing; HIV patients database; TEMPADIS; course-of-disease data; data cleaning; data preprocessing; data projection; event-set sequencing; goals matching; human immunodeficiency virus patients; knowledge discovery; medical database environment; temporal pattern discovery; Acquired immune deficiency syndrome; Cleaning; Data mining; Databases; Diseases; Hospitals; Human immunodeficiency virus; Large Hadron Collider; Medical treatment; Monitoring;

fLanguage

English

Journal_Title

Engineering in Medicine and Biology Magazine, IEEE

Publisher

ieee

ISSN

0739-5175

Type

jour

DOI

10.1109/51.853483

Filename

853483