Creating and sharing knowledge for telecommunications

Project: Personalized therapy for RhEumatic DIseases via machine learning methods

Acronym: PREDICT
Main Objective:
Propose cut-off the edge machine learning techniques to address the problems emerging from electronic medical records mining from two big databases collected by the Portuguese Society of Rheumatology.
Reference: PTDC/CCI-CIF/29877/2017
Funding: FCT
Start Date: 01-01-2019
End Date: 31-12-2021
Team: Alexandra Sofia Martins de Carvalho, Mario Alexandre Teles de Figueiredo, Paulo Alexandre Carreira Mateus, Marta Isabel Belchior Lopes
Groups: Pattern and Image Analysis – Lx, Security and Quantum Information - Lx
Local Coordinator: Alexandra Sofia Martins de Carvalho

Associated Publications
  • 2Papers in Journals
  • D. Azevedo, A. Rodrigues, H. Canhão, A. M. Carvalho, A. Souto, Zgli: A Pipeline for Clustering by Compression with Application to Patient Stratification in Spondyloarthritis, Sensors, Vol. 23, No. 3, pp. 1219 - 1219, January, 2023 | BibTex
  • B. Mera, P. Mateus, A. M. Carvalho, Model complexity in statistical manifolds: the role of curvature, IEEE Transactions on Information Theory, Vol. 68, No. 9, pp. 5619 - 5636, September, 2022 | BibTex