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Volumn 2018-July, Issue , 2018, Pages 5362-5365

Improving Young Stroke Prediction by Learning with Active Data Augmenter in a Large-Scale Electronic Medical Claims Database

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AREA UNDER THE CURVE; ARTIFICIAL NEURAL NETWORK; CEREBROVASCULAR ACCIDENT; FACTUAL DATABASE; FORECASTING; HUMAN; MACHINE LEARNING; MIDDLE AGED; RECEIVER OPERATING CHARACTERISTIC;

EID: 85056624361     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2018.8513479     Document Type: Conference Paper
Times cited : (8)

References (12)
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    • Y. LeCun, Y. Bengio, and G. Hinton, "Deep learning, " Nature, vol. 521, pp. 436-44, 2015.
    • (2015) Nature , vol.521 , pp. 436-444
    • LeCun, Y.1    Bengio, Y.2    Hinton, G.3
  • 7
    • 85019744945 scopus 로고    scopus 로고
    • Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: Prospective cohort study
    • C. J. Hippisley, C. Coupland, and P. Brindle, "Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study, " British Medical Journal, vol. 357, pp. j2099, 2017.
    • (2017) British Medical Journal , vol.357 , pp. j2099
    • Hippisley, C.J.1    Coupland, C.2    Brindle, P.3
  • 8
    • 40649126091 scopus 로고    scopus 로고
    • Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance
    • M. A. Mazurowski, P. A. Habas, J. M. Zurada, J. Y. Lo, J. A. Baker, and G. D. Tourassi, "Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance, " Neural Netw., vol. 21, no. 2-3, pp. 427-36, 2008.
    • (2008) Neural Netw , vol.21 , Issue.2-3 , pp. 427-436
    • Mazurowski, M.A.1    Habas, P.A.2    Zurada, J.M.3    Lo, J.Y.4    Baker, J.A.5    Tourassi, G.D.6
  • 9
    • 84962920378 scopus 로고    scopus 로고
    • Multi-task learning with selective cross-task transfer for predicting bleeding and other important patient outcomes
    • C. Ngufor, S. Upadhyaya, D. Murphree, D. Kor, and J. Pathak, "Multi-task learning with selective cross-task transfer for predicting bleeding and other important patient outcomes", 2015 IEEE International Conference on DSAA, pp. 1-8, 2015.
    • (2015) 2015 IEEE International Conference on DSAA , pp. 1-8
    • Ngufor, C.1    Upadhyaya, S.2    Murphree, D.3    Kor, D.4    Pathak, J.5
  • 11
    • 84868641794 scopus 로고    scopus 로고
    • Association between nucleoside analogues and risk of hepatitis B virus-related hepatocellular carcinoma recurrence following liver resection
    • C. Y. Wu, Y. J. Chen, H. J. Ho, Y. C. Hsu, K. N. Kuo, M. S. Wu, et al., "Association between nucleoside analogues and risk of hepatitis B virus-related hepatocellular carcinoma recurrence following liver resection, " JAMA, vol. 308, pp. 1906-14, 2012.
    • (2012) JAMA , vol.308 , pp. 1906-1914
    • Wu, C.Y.1    Chen, Y.J.2    Ho, H.J.3    Hsu, Y.C.4    Kuo, K.N.5    Wu, M.S.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.