An Imbalanced Learning based MDR-TB Early Warning System

Journal of Medical Systems

Volumn 40, Issue 7, 2016, Pages

  Li, Sheng ^a   Tang, Bo ^b   He, Haibo ^b  

^a ZHONGNAN UNIVERSITY OF ECONOMICS AND LAW   (China)

^b The University of Rhode Island   (United States)

Author keywords

Disease prediction; Early warning system; Imbalanced learning; MDR TB

Indexed keywords

ACCURACY; ADOLESCENT; ADULT; AGED; ARTICLE; CHILD; CLASSIFICATION AND REGRESSION TREE; CONTROLLED STUDY; DECISION TREE; DISEASE CLASSIFICATION; FEMALE; HUMAN; LEARNING ALGORITHM; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; MULTIDRUG RESISTANT TUBERCULOSIS; PRESCHOOL CHILD; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; VERY ELDERLY; YOUNG ADULT; ALGORITHM; COMPLICATION; MACHINE LEARNING; MEDICATION COMPLIANCE; PATHOPHYSIOLOGY; STATISTICS AND NUMERICAL DATA; TUBERCULOSIS; TUBERCULOSIS, MULTIDRUG-RESISTANT;

TUBERCULOSTATIC AGENT;

ALGORITHMS; ANTITUBERCULAR AGENTS; HUMANS; MACHINE LEARNING; MEDICATION ADHERENCE; RISK ASSESSMENT; TUBERCULOSIS; TUBERCULOSIS, MULTIDRUG-RESISTANT;

EID: 84971647404     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-016-0517-2     Document Type: Article

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