Abstract Background: Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative
disorder characterised by the progressive loss of motor neurons in the brain and spinal cord …

The prognosis of Amyotrophic Lateral Sclerosis (ALS), a complex and rare disease,
represents a challenging and essential task to better comprehend its progression and …

Longitudinal cohort studies to study disease progression generally combine temporal
features produced under periodic assessments (clinical follow-up) with static features …

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease causing patients to
quickly lose motor neurons. The disease is characterized by a fast functional impairment and …

This work proposes a new class of explainable prognostic models for longitudinal data
classification using triclusters. A new temporally constrained triclustering algorithm, termed …

Amyotrophic Lateral Sclerosis is a devastating neurodegenerative disease causing rapid
degeneration of motor neurons and usually leading to death by respiratory failure. Since …

Abstract Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) are chronic
diseases with a severe impact on patients' lives. Both diseases create significant …

Amyotrophic lateral sclerosis (ALS) is characterized by rapid motor neuron degeneration
and subsequent loss of motor function, typically leading to death by respiratory failure. As …

Background and purpose Progression rate is quite variable in amyotrophic lateral sclerosis
(ALS); thus, tools for profiling disease progression are essential for timely interventions. The …

Abstract Background and Objectives Deep neural networks recently become a popular tool
in medical research to predict disease progression and unveil its underlying temporal …