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Volumn , Issue , 2013, Pages 56-63

An empirical analysis of topic modeling for mining cancer clinical notes

Author keywords

Clinical notes; Electronic medical records; Genetic mutations; Principal component analysis; Topic modeling

Indexed keywords

DATA MINING; MEDICAL COMPUTING;

EID: 84898043055     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2013.91     Document Type: Conference Paper
Times cited : (27)

References (24)
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    • Sarioglu, E.1    Yadav, K.2    Choi, H.-A.3
  • 11
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    • Challenges associated with privacy in health care industry: Implementation of hipaa and the security rules
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    • Molecular classification of papillary thyroid carcinoma: Distinct braf, ras, and ret/ptc mutationspecific gene expression profiles discovered by dna microarray analysis
    • T. J. Giordano, R. Kuick, D. G. Thomas, D. E. Misek, M. Vinco, D. Sanders, Z. Zhu, R. Ciampi, M. Roh, K. Shedden et al., "Molecular classification of papillary thyroid carcinoma: distinct BRAF, RAS, and RET/PTC mutationspecific gene expression profiles discovered by DNA microarray analysis, " Oncogene, vol. 24, no. 44, pp. 6646-6656, 2005.
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    • Giordano, T.J.1    Kuick, R.2    Thomas, D.G.3    Misek, D.E.4    Vinco, M.5    Sanders, D.6    Zhu, Z.7    Ciampi, R.8    Roh, M.9    Shedden, K.10


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.