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Volumn 190, Issue , 2013, Pages 56-58

Predicting asthma exacerbations using artificial intelligence

Author keywords

Computer assisted instruction; health education; internet search

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER AIDED INSTRUCTION; DECISION SUPPORT SYSTEMS; DETERIORATION; FORECASTING; HEALTH CARE; SEARCH ENGINES; SUPPORT VECTOR MACHINES;

EID: 84894237258     PISSN: 09269630     EISSN: 18798365     Source Type: Conference Proceeding    
DOI: 10.3233/978-1-61499-276-9-56     Document Type: Conference Paper
Times cited : (23)

References (2)
  • 1
    • 65949088640 scopus 로고    scopus 로고
    • Development and implementation of the home asthma telemonitoring (HAT) system to facilitate asthma self-care
    • [PMID:11604847]
    • J. Finkelstein, G. O'Connor, R. H. Friedman, Development and implementation of the home asthma telemonitoring (HAT) system to facilitate asthma self-care. Stud Health Technol Inform 84(2001),810-4. [PMID:11604847]
    • (2001) Stud Health Technol Inform , vol.84 , pp. 810-814
    • Finkelstein, J.1    O'Connor, G.2    Friedman, R.H.3
  • 2
    • 0018015137 scopus 로고
    • Modeling by shortest data description
    • J. Rissanen, Modeling by shortest data description., Automatica 14 (1978), 465-471.
    • (1978) Automatica , vol.14 , pp. 465-471
    • Rissanen, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.