Personalized therapy for RhEumatic DIseases via machine learning methods PREDICT

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

Partners: FCIÊNCIAS.ID, INESC-ID, NMS|FCM

Local Coordinator: Alexandra Sofia Martins de Carvalho

United Nations Strategic Development Goal - Industry, Innovation and Infrastructure

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

Project / PREDICT

Project: Personalized therapy for RhEumatic DIseases via machine learning methods