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Volumn , Issue , 2012, Pages 1140-1148

An integrated data mining approach to real-time clinical monitoring and deterioration warning

Author keywords

deterioration warning; feature selection; real time clinical monitoring; time series classification

Indexed keywords

CLASS IMBALANCE; CLINICAL DATA; CLINICAL MONITORING; CLINICAL STUDY; CLINICAL TRIAL; DATA MINING METHODS; DETRENDED FLUCTUATION ANALYSIS; ELECTRONIC MEDICAL RECORD SYSTEM; EMPIRICAL STUDIES; FEATURE SETS; INTEGRATED APPROACH; INTEGRATED DATA MINING; NONLINEAR CLASSIFICATION ALGORITHM; PATIENT CARE; PATIENT DATA; PREDICTION QUALITY; REAL TIME MONITORING; REAL-TIME DATA; SECOND ORDERS; TIME SERIES CLASSIFICATIONS; UNDER-SAMPLING; VITAL SIGN;

EID: 84866007817     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2339530.2339709     Document Type: Conference Paper
Times cited : (57)

References (21)
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    • Penzel, T.1    Kantelhardt, J.W.2    Grote, L.3    Peter, J.-H.4    Bunde, A.5
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    • Heart rate and respiration relationship as a diagnostic tool for late onset sepsis in sick preterm infants
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    • (2006) Computers in Cardiology , vol.33 , pp. 737-740
    • Loforte, R.1    Carrault, G.2    Mainardi, L.3    Beuche, A.4
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    • A review of feature selection techniques in bioinformatics
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    • Saeys, Y.1    Inza, I.2    Larranaga, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.