Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Nov 23;134(4):401-403.
doi: 10.1097/CM9.0000000000001202.

Machine learning in diagnosis of coronary artery disease

Affiliations

Machine learning in diagnosis of coronary artery disease

Hao Ling et al. Chin Med J (Engl). .
No abstract available

PubMed Disclaimer

Conflict of interest statement

None.

Similar articles

Cited by

References

    1. Roth GA, Forouzanfar MH, Moran AE, Barber R, Nguyen G, Feigin VL, et al. . Demographic and epidemiologic drivers of global cardiovascular mortality. N Engl J Med 2015; 372:1333–1341. doi: 10.1056/NEJMoa1406656. - PMC - PubMed
    1. Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, et al. . Executive summary: heart disease and stroke statistics—2015 Update. Circulation 2015; 131:434–441. doi: 10.1161/CIR.0000000000000157. - PubMed
    1. Litjens G, Kooi T, Bejnordi BE, Setio AAA, Ciompi F, Ghafoorian M, et al. . A survey on deep learning in medical image analysis. Med Image Anal 2017; 42:60–88. doi: 10.1016/j.media.2017.07.005. - PubMed
    1. Zhang T, Cheng J, Fu H, Gu Z, Xiao Y, Zhou K, et al. . Noise adaptation generative adversarial network for medical image analysis. IEEE Trans Med Imaging 2020; 39:1149–1159. doi: 10.1109/tmi.2019.2944488. - PubMed
    1. Li Q, Fan QL, Han QX, Geng WJ, Zhao HH, Ding XN, et al. . Machine learning in nephrology: scratching the surface. Chin Med J 2020; 687–698. doi: 10.1097/cm9.0000000000000694. - PMC - PubMed