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Volumn 63, Issue 1-2, 2001, Pages 77-89

Processing and representation of meta-data for sleep apnea diagnosis with an artificial intelligence approach

Author keywords

Aggregation; Categorical and scalar representation; Grade of membership; Questionnaire screening; Relevance and reliability weights; Sleep apnea diagnosis

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS; INFORMATION MANAGEMENT; PATIENT MONITORING;

EID: 0034879650     PISSN: 13865056     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1386-5056(01)00173-3     Document Type: Article
Times cited : (18)

References (15)
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  • 3
    • 0021226894 scopus 로고
    • Prevalence of sleep apnoea among patients with essential hypretension
    • (1984) Am. Heart J. , vol.108 , pp. 373-376
    • Lavie, P.1
  • 5
    • 0024239442 scopus 로고
    • Long term outcome for obstructive sleep apnoea syndrome patients: Mortality
    • (1988) Chest , vol.94 , pp. 1200-1204
    • Partinen, M.1
  • 6
    • 0022274433 scopus 로고
    • Indications and standards for cardiopulmonary sleep studies
    • (1985) Sleep , vol.8 , pp. 371-379
    • Martin, R.J.1
  • 13
    • 0002624818 scopus 로고
    • Excessive daytime sleepiness in the sleep apnoea syndrome
    • Guilleminot…Sleep apnoea syndromes, Alan R. Liss, New York
    • (1978) , pp. 23-46
    • Dement, W.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.