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Publications for dfsoares (13)

2024
Predicting the functional rating scale and self-assessment status of ALS patients with sensor data (2024)
Andreia S. Martins et al., with 7 authors including:
Andreia S. Martins
Daniela M. Amaral
Eduardo N. Castanho
Diogo F. Soares
Ruben Branco
Sara C. Madeira
Helena Aidos
Conference papers
2024
Temporal stratification of amyotrophic lateral sclerosis patients using disease progression patterns (2024)
Daniela M. Amaral et al., with 7 authors including:
Daniela M. Amaral
Diogo F. Soares
Sara C. Madeira
Helena Aidos
Journal articles
2024
Comprehensive assessment of triclustering algorithms for three-way temporal data analysis (2024)
Diogo F. Soares
Rui Henriques
Sara C. Madeira
Journal articles
2024
Triclustering three-way temporal and heterogeneous data : targeting predictive and descriptive tasks for biomedical applications (2024)
Diogo Filipe Marques Soares
Sara Alexandra Cordeiro Madeira
Rui Miguel Carrasqueiro Henriques
Academic documents
2023
Investigating the Impact of Environmental Data on ALS Prognosis with Survival Analysis (2023)
Ruben Branco et al., with 7 authors including:
Diogo F. Soares
Sara C. Madeira
Helena Aidos
Conference papers
2023
Survival analysis for multiple sclerosis: predicting risk of disease worsening (2023)
Ruben Branco et al., with 7 authors including:
Diogo F. Soares
Sara C. Madeira
Helena Aidos
Conference papers
2023
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review (2023)
Erica Tavazzi et al., with 25 authors including:
Helena Aidos
Andreia S. Martins
Eduardo N. Castanho
Ruben Branco
Diogo F. Soares
Sara C. Madeira
Journal articles
2023
Triclustering-based classification of longitudinal data for prognostic prediction: targeting relevant clinical endpoints in amyotrophic lateral sclerosis (2023)
Diogo F. Soares
Rui Henriques
Marta Gromicho
Mamede de Carvalho
Sara C. Madeira
Journal articles
2022
Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis (2022)
Diogo F. Soares
Rui Henriques
Marta Gromicho
Mamede de Carvalho
Sara C. Madeira
Journal articles
2022
Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity (2022)
Susana Nunes et al., with 11 authors including:
Susana Nunes
Rita T. Sousa
Filipa Serrano
Ruben Branco
Diogo F. Soares
Andreia S. Martins
Eduardo N. Castanho
Sara C. Madeira
Helena Aidos
Catia Pesquita
Conference papers
2022
Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events (2022)
Ruben Branco et al., with 11 authors including:
Diogo F. Soares
Andreia S. Martins
Eduardo N. Castanho
Susana Nunes
Filipa Serrano
Rita T. Sousa
Catia Pesquita
Sara C. Madeira
Helena Aidos
Conference papers
2020
Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS (2020)
Diogo Soares et al., with 6 authors including:
Diogo Soares
Sara C. Madeira
Conference papers
2020
Learning Predictive Models From Temporal Three-way Data Using Triclustering: Applications in Clinical Data Analysis (2020)
Diogo Filipe Marques Soares
Sara Alexandra Cordeiro Madeira
Academic documents