Temporal Abstraction for Long-Term Test Changes in the Hepatitis Domain | Zendy

Saori Kawasaki | Zendy; Trong Dung Nguyen | Zendy; Tu Bao Ho | Zendy

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Temporal Abstraction for Long-Term Test Changes in the Hepatitis Domain

Author(s) -

Saori Kawasaki,

Trong Dung Nguyen,

Tu Bao Ho

Publication year - 2003

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2003.p0348

Subject(s) - computer science , abstraction , representation (politics) , temporal database , domain (mathematical analysis) , interval (graph theory) , data mining , term (time) , artificial intelligence , theoretical computer science , mathematics , quantum mechanics , mathematical analysis , philosophy , physics , epistemology , combinatorics , politics , political science , law

Temporal abstraction (TA) transforms temporal data into a symbolic interval-based representation of data. Most TA methods is applicable to data collected regularly over short periods. We proposed a TA method for temporal data irregularly collected over long periods. The core of our method is the notion of "change of states" and algorithms to detect them. We applied the method to analyze a hepatitis database with results evaluated by medical experts.

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