LASIGE’s Andreia Martins and Sara C. Madeira work on prognostic models for Amyotrophic Lateral Sclerosis (ALS) has been published in IEEE/ACM Transactions on Computational Biology and Bioinformatics (h5-index: 41). The paper, titled “Learning Prognostic Models using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic LateralSclerosis”, is co-authored by iMM researchers Marta Gromicho, Susana Pinto and Mamede de Carvalho.
The goal of the work was to use static patterns (disease presentation) and temporal patterns (disease progression) to learn prognostic models capable of predicting the timely administration of Non-invasive Ventilation, an effective treatment to improve symptoms and prolong survival of ALS patients. The learnt prognostic models showed promise and confirm the already available clinical knowledge regarding relevant biomarkers of disease progression towards respiratory insufficiency.
The paper is available here.