Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, August, 2023

A morphology-based feature set for automated Amyotrophic Lateral Sclerosis diagnosis on surface electromyography.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2023

iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.

[BibT_eX]

[DOI]

Jose Manuel García Dominguez

Sara C. Madeira

Eleonora Tavazzi

Proceedings of the Advances in Information Retrieval, 2023

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023.

[BibT_eX]

[DOI]

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022

Learning Prognostic Models Using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2022

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022.

[BibT_eX]

[DOI]

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis.

[BibT_eX]

[DOI]

Alexandra M. Carvalho

J. Biomed. Informatics, 2021

2020

Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS.

[BibT_eX]

[DOI]

Proceedings of the Practical Applications of Computational Biology & Bioinformatics, 2020

Patient Stratification Using Clinical and Patient Profiles: Targeting Personalized Prognostic Prediction in ALS.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics and Biomedical Engineering, 2020

Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics and Biomedical Engineering, 2020

Predictive Medicine Using Interpretable Recurrent Neural Networks.

[BibT_eX]

[DOI]

Alexandra M. Carvalho

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors.

[BibT_eX]

[DOI]

CoRR, 2019

Electric Field Distribution during Non-Invasive Electric and Magnetic Stimulation of the Cervical Spinal Cord.

[BibT_eX]

[DOI]

Sofia Rita Fernandes

Ricardo Salvador

Mamede de Carvalho

Pedro Cavaleiro Miranda

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Predicting Non-invasive Ventilation in ALS Patients Using Stratified Disease Progression Groups.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2016

Influence of electrode configuration on the electric field distribution during transcutaneous spinal direct current stimulation of the cervical spine.

[BibT_eX]

[DOI]

Pedro Cavaleiro Miranda

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

The effect of inter-electrode distance on the electric field distribution during transcutaneous lumbar spinal cord direct current stimulation.

[BibT_eX]

[DOI]

Pedro Cavaleiro Miranda

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Prognostic models based on patient snapshots and time windows: Predicting disease progression to assisted ventilation in Amyotrophic Lateral Sclerosis.

[BibT_eX]

[DOI]

André Valério Carreiro

J. Biomed. Informatics, 2015

Monitoring amyotrophic lateral sclerosis by biomechanical modeling of speech production.

[BibT_eX]

[DOI]

Pedro Gómez Vilda

Ana Rita Londral

María Victoria Rodellar Biarge

José Manuel Ferrández de Vicente

Mamede de Carvalho

Neurocomputing, 2015

Electromyographic Signal Dynamic Behavior in Neuropathies - Spectral Parameters Evaluation and Classification.

[BibT_eX]

Proceedings of the BIOSIGNALS 2015, 2015

2014

Coherence and Phase Locking Disruption in Electromyograms of Patients with Amyotrophic Lateral Sclerosis.

[BibT_eX]

[DOI]

Proceedings of the BIOSIGNALS 2014, 2014

2013

A Method to Detect Keystrokes using Accelerometry to Quantify Typing Rate and Monitor Neurodegenerative Progression.

[BibT_eX]

[DOI]

Proceedings of the International Congress on Neurotechnology, Electronics and Informatics, 2013

2012

Clinical Neurophysiology - Engineering and Medicine.

[BibT_eX]

Mamede de Carvalho

Proceedings of the BIODEVICES 2012 - Proceedings of the International Conference on Biomedical Electronics and Devices, Vilamoura, Algarve, Portugal, 1, 2012

Mamede de Carvalho

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