Short Courses of the 19th Brazilian Symposium on Computing Applied to Health

Authors

Natalia Castro Fernandes (ed)
UFF
Artur Ziviani (ed)
LNCC
Debora Christina Muchaluat Saade (ed)
UFF

Keywords:

Computing Applied to Health, Machine Learning, Blockchain, Ontologies, Observational research

Synopsis

The book Short Courses of the Brazilian Symposium on Computing Applied to Health (SBCAS 2019) brings the texts of the mini-courses selected and presented in the 19th edition of the event, including four mini courses accepted. Short courses are an opportunity to update the community's knowledge with new themes related to health and computing, in a didactic way and with wide access to the public. The four papers selected are high quality, a result of the efforts of the authors, who dedicate many hours to the production of written content and presentation.

Chapters

  • 1. Machine Learning applied to Health
    André Filipe de Moraes Batista, Alexandre Dias Porto Chiavegatto Filho
    Chapter 1
  • 2. Blockchain and Applications in Health
    Arlindo F. da Conceição, Vladimir Moreira Rocha, Ricardo Felipe de Paula
    Chapter 2
  • 3. Biomedical ontologies: theory and practice
    Fernanda Farinelli, Mauricio B. Almeida
    Chapter 3
  • 4. The state of the art in observational health data research: The OHDSI initiative
    Maria Tereza Fernandes Abrahão, Moacyr Roberto Cuce Nobre, Pablo Jorge Madril
    Chapter 4

Downloads

Download data is not yet available.

Downloads

Full Volume

Publication date

June 11, 2019

Categories

Copyright (c) 2019 Brazilian Computing Society

License

Creative Commons License

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

Details about the available publication format: Full Volume

Full Volume

ISBN-13 (15)

978-85-7669-472-4