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
Editorial
. 2018 Jan;68(666):6-7.
doi: 10.3399/bjgp17X693965.

Harnessing the power of intelligent machines to enhance primary care

Sarah F Moore  1 , William Hamilton  1 , David J Llewellyn  1
Affiliations
Editorial

Harnessing the power of intelligent machines to enhance primary care

Sarah F Moore et al. Br J Gen Pract. 2018 Jan.
No abstract available

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Diagrammatic representation of artificial neural networks.
See this image and copyright information in PMC

References

    1. Royal Society . Machine learning: the power and promise of computers that learn by example. London: Royal Society; 2017.
    1. Malhi GS, Tanious M, Das P, et al. Potential mechanisms of action of lithium in bipolar disorder: current understanding. CNS Drugs. 2013;27(2):135–153. - PubMed
    1. Cabitza F, Rasoini R, Gensini GF. Unintended consequences of machine learning in Medicine. JAMA. 2017;318(6):517. - PubMed
    1. Hochberg I, Feraru G, Kozdoba M, et al. Encouraging physical activity in patients with diabetes through automatic personalized feedback via reinforcement learning improves glycemic control. Diabetes Care. 2016;39(4):e59–e60. - PubMed
    1. Weng SF, Reps J, Kai J, et al. Can machine-learning improve cardiovascular risk prediction using routine clinical data? PLOS One. 2017;12(4):e0174944. - PMC - PubMed

Publication types

MeSH terms

LinkOut - more resources