This paper is in the following e-collection/theme issue:

Secondary Use of Clinical Data for Research and Surveillance (318) Data Science (223) Immunology, Allergy, Rheumatology (78) Electronic Health Records (961) Decision Support for Health Professionals (1129) Clinical Information and Decision Making (1315) Machine Learning (1373) Clinical Informatics (904)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26823, first published .
Predicting Biologic Therapy Outcome of Patients With Spondyloarthritis: Joint Models for Longitudinal and Survival Analysis

Predicting Biologic Therapy Outcome of Patients With Spondyloarthritis: Joint Models for Longitudinal and Survival Analysis

Predicting Biologic Therapy Outcome of Patients With Spondyloarthritis: Joint Models for Longitudinal and Survival Analysis

Authors of this article:

Carolina Barata1, 2 Author Orcid Image ;   Ana Maria Rodrigues3, 4 Author Orcid Image ;   Helena Canhão3, 4 Author Orcid Image ;   Susana Vinga1, 5, 6 Author Orcid Image ;   Alexandra M Carvalho1, 2, 6 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

Carolina Barata   1, 2 , MSc ;   Ana Maria Rodrigues   3, 4 , MD, PhD ;   Helena Canhão   3, 4 , MD, PhD ;   Susana Vinga   1, 5, 6 , PhD ;   Alexandra M Carvalho   1, 2, 6 , PhD

1 Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal

2 Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal

3 Comprehensive Health Research Center, NOVA Medical School, NOVA University of Lisbon, Lisbon, Portugal

4 EpiDoC Unit, The Chronic Diseases Research Centre, NOVA Medical School, NOVA University of Lisbon, Lisbon, Portugal

5 Instituto de Engenharia de Sistemas e Computadores: Investigação e Desenvolvimento em Lisboa (INESC-ID), Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal

6 Lisbon Unit for Learning and Intelligent Systems, Lisbon, Portugal

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