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Volumn 5651 LNAI, Issue , 2009, Pages 26-35

A temporal data mining approach for discovering knowledge on the changes of the patient's physiology

Author keywords

Events; Physiological Data; States; Temporal Data Mining

Indexed keywords

COMPUTATIONAL SOLUTIONS; DOMAIN KNOWLEDGE; EVENTS; HEALTH CONDITION; MEDICAL KNOWLEDGE; PHYSIOLOGICAL DATA; SINGLE STAGE; SLEEP DISORDERS; SLEEP STAGE; STATES; TEMPORAL DATA MINING;

EID: 70350236897     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02976-9_4     Document Type: Conference Paper
Times cited : (3)

References (12)
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    • Guimares, G.1    Peter, J.H.2    Penzel, T.3    Ultsch, A.4
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    • Loglisci, C.1    Berardi, M.2
  • 10
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    • Learning Recursive Theories in the Normal ILP Setting
    • Malerba, D.: Learning Recursive Theories in the Normal ILP Setting. Fundam. Inf. 57(1), 39-77 (2003)
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    • Malerba, D.1
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    • A Framework for Knowledge-Based Temporal Abstraction
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    • Shahar, Y.1
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    • Intelligent systems in patient monitoring and therapy management. A survey of research projects
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    • Uckun, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.