메뉴 건너뛰기




Volumn , Issue , 2010, Pages 479-483

Large-scale multimodal mining for healthcare with MapReduce

Author keywords

hadoop mapreduce; high performance computing; multimodal mining for healthcare

Indexed keywords

AUTOMATIC PARALLELIZATION; CLINICAL DECISION SUPPORT SYSTEMS; DATA SETS; GENERIC FRAMEWORKS; HIGH-PERFORMANCE COMPUTING; MAP-REDUCE; MINING ALGORITHMS; MINING SYSTEMS; MULTI-MODAL; MULTI-MODAL DATA; OPEN SOURCE IMPLEMENTATION; PARALLEL PROCESSING; PATIENT DATA; PERIOD ESTIMATION; PETABYTES; PORTABLE MEDICAL DEVICE; SIMILARITY SEARCH;

EID: 78650955899     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1882992.1883067     Document Type: Conference Paper
Times cited : (22)

References (9)
  • 1
    • 36549007486 scopus 로고    scopus 로고
    • Computed tomography a̧ł an increasing source of radiation exposure
    • November
    • D. Brenner and E. Hall. Computed tomography a̧ł an increasing source of radiation exposure. N. Engl. J. Med., 357(22):2277-2284, November 2007.
    • (2007) N. Engl. J. Med. , vol.357 , Issue.22 , pp. 2277-2284
    • Brenner, D.1    Hall, E.2
  • 4
    • 84859921422 scopus 로고    scopus 로고
    • Pairwise Document Similarity in Large Collections with MapReduce
    • T. Elsayed, J. Lin, and D. W. Oard. Pairwise Document Similarity in Large Collections with MapReduce. Proceedings of ACL-08, pages 265-268, 2008.
    • (2008) Proceedings of ACL-08 , pp. 265-268
    • Elsayed, T.1    Lin, J.2    Oard, D.W.3
  • 5
    • 78650927083 scopus 로고    scopus 로고
    • Hadoop. http://hadoop.apache.org/core/.
  • 8
    • 38149027035 scopus 로고    scopus 로고
    • Characterizing spatio-temporal patterns for disease discrimination in cardiac echo videos
    • T. Syeda-Mahmood, F. Wang, D. Beymer, M. London, and R. Reddy. Characterizing spatio-temporal patterns for disease discrimination in cardiac echo videos. In MICCAI, pages 261-269, 2007.
    • (2007) MICCAI , pp. 261-269
    • Syeda-Mahmood, T.1    Wang, F.2    Beymer, D.3    London, M.4    Reddy, R.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.