Personalized therapy for RhEumatic DIseases via machine learning methods PREDICT

PROJECT / 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

Related UN SDG

This project falls under the following United Nations Strategic Development Goals (SDGs):

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