Machine Learning in Human Healthcare

Authors

  • José Raniery Ferreira Júnior University of São Paulo
  • Natália Santana Chiari Correia University of São Paulo
  • Paulo Mazzoncini de Azevedo Marques University of São Paulo

DOI:

https://doi.org/10.5753/compbr.2019.39.4526

Keywords:

Machine Learning, Artificial Intelligence, Health

Abstract

This paper shows the Machine Learning revolution in image diagnosis, explaining the impact on the Faculty of Medicine of Ribeirão Preto at the University of São Paulo (USP).

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References

Azevedo-Marques P.M, Mecanttini A., Salmeri M., Rangayyan R.M. (editors). Medical Image Analysis and Informatics: Computer-Aided Diagnosis and Therapy. CRC Press, 518 pages, 1st Edition, 2017.

Chartrand G., Cheng P.M., Vorontsov E., Drozdzal M., Turcotte S., Pal C.J., Kadoury S., Tang A. Deep Learning: A Primer for Radiologists. Radiographics, v. 37, n. 7, p. 2113–2131, 2017.

Yu K-H., Beam A.L., Kohane I.S. Artificial intelligence in healthcare. Nature Biomedical Engineering, volume 2, pages 719–731, 2018.

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Published

2019-04-01

How to Cite

Ferreira Júnior, J. R., Correia, N. S. C., & Marques, P. M. de A. (2019). Machine Learning in Human Healthcare. Brazil Computing, (39), 37–40. https://doi.org/10.5753/compbr.2019.39.4526

Issue

No. 39 (2019)

Section

Papers

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.