An artificial intelligence solution to detect potential non-response to chronic-pain treatment based on the first medical encounter

Larissa I Moreira; A. Bessa; N. Ziviani; M.J. Teixeira; J. Rosi; M. Nishio; D.C. Araujo; A.P. Macedo; G.T. Kubota; V. Silva; A. Veloso; Daniel Ciampi de Andrade

An artificial intelligence solution to detect potential non-response to chronic-pain treatment based on the first medical encounter

Larissa I Moreira, A. Bessa, N. Ziviani, M.J. Teixeira, J. Rosi, M. Nishio, D.C. Araujo, A.P. Macedo, G.T. Kubota, V. Silva, A. Veloso, Daniel Ciampi de Andrade

Research output: Contribution to book/anthology/report/conference proceeding › Conference abstract in proceeding › Research › peer-review

Original language	English
Title of host publication	12th Congress of The European Pain Federation® - Pain in Europe XII - Targeting Pain and its Comorbidities in the Digital Age : Abstract Book
Publication date	Apr 2022
Pages	12
Article number	752
Publication status	Published - Apr 2022
Event	EFIC2022 European Pain Federation - dublin, Ireland Duration: 27 Apr 2022 → 30 Apr 2022

Conference

Conference	EFIC2022 European Pain Federation
Country/Territory	Ireland
City	dublin
Period	27/04/2022 → 30/04/2022

Access to Document

https://efic-congress.org/wp-content/uploads/2022/04/ABSTRACT-BOOK-2022.pdf

AUB Link

Search for the material in Aalborg University Library's search engine

Cite this

Moreira, L. I., Bessa, A., Ziviani, N., Teixeira, M. J., Rosi, J., Nishio, M., Araujo, D. C., Macedo, A. P., Kubota, G. T., Silva, V., Veloso, A., & de Andrade, D. C. (2022). An artificial intelligence solution to detect potential non-response to chronic-pain treatment based on the first medical encounter. In 12th Congress of The European Pain Federation® - Pain in Europe XII - Targeting Pain and its Comorbidities in the Digital Age: Abstract Book (pp. 12). Article 752 https://efic-congress.org/wp-content/uploads/2022/04/ABSTRACT-BOOK-2022.pdf

@inbook{1262341e6b5f40edb386d1b7b5592793,

title = "An artificial intelligence solution to detect potential non-response to chronic-pain treatment based on the first medical encounter",

author = "Moreira, {Larissa I} and A. Bessa and N. Ziviani and M.J. Teixeira and J. Rosi and M. Nishio and D.C. Araujo and A.P. Macedo and G.T. Kubota and V. Silva and A. Veloso and {de Andrade}, {Daniel Ciampi}",

year = "2022",

month = apr,

language = "English",

pages = "12",

booktitle = "12th Congress of The European Pain Federation{\textregistered} - Pain in Europe XII - Targeting Pain and its Comorbidities in the Digital Age",

note = "EFIC2022 European Pain Federation ; Conference date: 27-04-2022 Through 30-04-2022",

}

Moreira, LI, Bessa, A, Ziviani, N, Teixeira, MJ, Rosi, J, Nishio, M, Araujo, DC, Macedo, AP, Kubota, GT, Silva, V, Veloso, A & de Andrade, DC 2022, An artificial intelligence solution to detect potential non-response to chronic-pain treatment based on the first medical encounter. in 12th Congress of The European Pain Federation® - Pain in Europe XII - Targeting Pain and its Comorbidities in the Digital Age: Abstract Book., 752, pp. 12, EFIC2022 European Pain Federation, dublin, Ireland, 27/04/2022. <https://efic-congress.org/wp-content/uploads/2022/04/ABSTRACT-BOOK-2022.pdf>

An artificial intelligence solution to detect potential non-response to chronic-pain treatment based on the first medical encounter. / Moreira, Larissa I; Bessa, A.; Ziviani, N. et al.
12th Congress of The European Pain Federation® - Pain in Europe XII - Targeting Pain and its Comorbidities in the Digital Age: Abstract Book. 2022. p. 12 752.

Research output: Contribution to book/anthology/report/conference proceeding › Conference abstract in proceeding › Research › peer-review

TY - ABST

T1 - An artificial intelligence solution to detect potential non-response to chronic-pain treatment based on the first medical encounter

AU - Moreira, Larissa I

AU - Bessa, A.

AU - Ziviani, N.

AU - Teixeira, M.J.

AU - Rosi, J.

AU - Nishio, M.

AU - Araujo, D.C.

AU - Macedo, A.P.

AU - Kubota, G.T.

AU - Silva, V.

AU - Veloso, A.

AU - de Andrade, Daniel Ciampi

PY - 2022/4

Y1 - 2022/4

M3 - Conference abstract in proceeding

SP - 12

BT - 12th Congress of The European Pain Federation® - Pain in Europe XII - Targeting Pain and its Comorbidities in the Digital Age

T2 - EFIC2022 European Pain Federation

Y2 - 27 April 2022 through 30 April 2022

ER -