Jul 23, 2020 · We propose a triclustering-based approach for three-way data classification, resulting from a combination of triclustering with random forests, and use it to ...
A Case Study on Predicting Non-invasive Ventilation in ALS
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Jul 26, 2022 · In this work, we propose a triclustering-based approach for three-way data classification, resulting from a combination of triclustering with ...
Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS ; Authors: Rui Miguel ...
Apr 15, 2023 · This work proposes a new class of explainable prognostic models for longitudinal data classification using triclusters.
BicTric methodology successfully predicts non-invasive ventilation need in amyotrophic lateral sclerosis. The learnt prognostic models reveal interpretable ...
Towards triclustering-based classification of three-way clinical data: A case study on predicting non-invasive ventilation in als. D Soares, R Henriques, M ...
Aug 30, 2022 · As a case study, we applied our methodology to follow-up data from Portuguese patients with Amyotrophic Lateral Sclerosis (ALS) to predict ...
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Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis.
This work proposes a new class of explainable prognostic models for longitudinal data classification using triclusters. A new temporally constrained ...
Towards triclustering-based classification of three-way clinical data: A case study on predicting non-invasive ventilation in als. In International ...