참고문헌
- 국가기술표준원, 2016 표준기반 R&D로드맵: 스마트헬스, 2016 http://www.kscodi.or.kr/?module=file&act=procFileDownload&file_srl=34507&sid=712623a2961c10092c85499372555dld
- Shah, NH. Tenenbaum, JD. "The coming age of data-driven medicine: translational bioinformatics' next frontier," JAMIA, Vol. 19, no. 31, pp. e2-e4, 2012.
- NIH, What is Big Data? https://datascience.nih.gov/bd2k/about/what2015.4
- Weber, GM. Mandl, KD. Kohane IS. "Finding the missing link for big biomedical data," JAMA Vol. 311, no. 24, pp. 2470-2480, 2014.
- McGovern, L. Miller, G. Hughes-Cromwick, P. "The relative contribution of multiple determinants to health outcomes," Health Aff. Vol. 33, no. 2, pp. 1-9, 2014.
- Esteva, A. Kuprel, B. Novoa, RA. Ko, J. Swetter, SM. Bl, HM. Thrun, S. "Dermatologist-level classification of skin cancer with deep neural networks," Nature. Vol. 542, pp. 115-118, 2017. https://doi.org/10.1038/nature21056
- Gulshan, V. Peng, L. Coram, M. Stumpe, MC. Wu, D. Narayanaswamy, A. Venugopalan, S. Widner, K. Madams, T. Cuadros, J. Kim, R. Raman, R. Nelson, PC. Mega, JL. Webster, DR. "Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs, JAMA. Vol. 316, no. 22, pp. 2402-2410, 2016. https://doi.org/10.1001/jama.2016.17216
- PR Newswire, Arterys Receives FDA Clearance For The First Zero-Footprint Medical Imaging Analytics Cloud Software With Deep Learning For Cardiac MRI, 2017. http://www.prnewswire.com/news-releases/arterys-receives-fda-clearance-for-the-first-zero-footprint-medica1-imaging-analytics-cloud-software-with-deep-leaming-for-cardiac-mri-300387880.html
- 국가기술표준원, 2017 표준기반 R&D로드맵: 스마트헬스, 2017. (inpress)
- Velupillai, S. Mowery, D. South, BR. Kvist, M. Dalianis, H. "Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis," Yearb Med Inform. Vol. 10, no. 1, pp. 183-193. 2015.
- 신수용, "개인정보보호를 위한 헬스케어 데이터 익명화," 정보과학회지 제35권 제2호, pp. 17-21, 2017.