Temporal pattern discovery in course-of-disease data: A system that utilizes event-set sequencing for knowledge discovery within database of HIV patients

IEEE Engineering in Medicine and Biology Magazine

Volumn 19, Issue 4, 2000, Pages 63-71

  Ramirez, Jorge C G ^a   Cook, Diane J ^b   Peterson, Lynn L ^b,c   Peterson, Dolores M ^d,e,f  

^a Intelligent Technologies Corporation   (United States)

^b University of Texas at Arlington   (United States)

^c UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

^d UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

^e University of Texas Health Science Center   (United States)

^f Baylor College of Medicine   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA MINING; DATA REDUCTION; DATABASE SYSTEMS; DECISION THEORY; KNOWLEDGE REPRESENTATION; LEARNING SYSTEMS; MEDICAL COMPUTING; NEURAL NETWORKS;

DATA CLEANING; EVENT SET SEQUENCING; KNOWLEDGE DISCOVERY IN DATABASES (KDD); TEMPORAL PATTERN DISCOVERY SYSTEMS (TEMPADIS);

KNOWLEDGE ACQUISITION;

CLINICAL RESEARCH; DATA ANALYSIS; DATA BASE; DISEASE COURSE; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; MEDICAL TECHNOLOGY; REVIEW;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMEDICAL ENGINEERING; DATABASES, FACTUAL; HIV INFECTIONS; HUMANS; MODELS, THEORETICAL; PATTERN RECOGNITION, AUTOMATED;

EID: 0034234969     PISSN: 07395175     EISSN: None     Source Type: Journal    
DOI: 10.1109/51.853483     Document Type: Review

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