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Volumn 3, Issue 6, 2015, Pages 473-482

Classification of usual interstitial pneumonia in patients with interstitial lung disease: Assessment of a machine learning approach using high-dimensional transcriptional data

(24)  Kim, Su Yeon a   Diggans, James a   Pankratz, Dan a   Huang, Jing a   Pagan, Moraima a   Sindy, Nicole a   Tom, Ed a   Anderson, Jessica a   Choi, Yoonha a   Lynch, David A b   Steele, Mark P c   Flaherty, Kevin R d   Brown, Kevin K b   Farah, Humam e   Bukstein, Michael J e   Pardo, Annie f   Selman, Moisés g   Wolters, Paul J h   Nathan, Steven D i   Colby, Thomas V j   more..


Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ALLERGIC PNEUMONITIS; ARTICLE; BRONCHIOLITIS; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE CLASSIFICATION; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FEMALE; GENE EXPRESSION; GENE EXPRESSION PROFILING; HUMAN; HUMAN TISSUE; INTERSTITIAL LUNG DISEASE; INTERSTITIAL PNEUMONIA; LUNG BIOPSY; MAJOR CLINICAL STUDY; MALE; ORGANIZING PNEUMONIA; PRIORITY JOURNAL; RNA SEQUENCE; SARCOIDOSIS; SENSITIVITY AND SPECIFICITY; VALIDATION PROCESS; BIOPSY; DIFFERENTIAL DIAGNOSIS; IDIOPATHIC INTERSTITIAL PNEUMONIAS; LUNG; MACHINE LEARNING; MIDDLE AGED; PATHOLOGY; REPRODUCIBILITY;

EID: 84930871576     PISSN: 22132600     EISSN: 22132619     Source Type: Journal    
DOI: 10.1016/S2213-2600(15)00140-X     Document Type: Article
Times cited : (118)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.