4.7 Article

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

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

FleBiC: Learning classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns

Rui Henriques et al.

Summary: This study evaluates the impact of discriminative patterns with varying coherence and quality on associative classification, introducing a novel classifier called FleBiC. By extending pattern-based biclustering, FleBiC improves the performance of state-of-the-art classifiers.

PATTERN RECOGNITION (2021)

Review Clinical Neurology

Applications of machine learning to diagnosis and treatment of neurodegenerative diseases

Monika A. Myszczynska et al.

NATURE REVIEWS NEUROLOGY (2020)

Review Neurosciences

Machine Learning in Amyotrophic Lateral Sclerosis: Achievements, Pitfalls, and Future Directions

Vincent Grollemund et al.

FRONTIERS IN NEUROSCIENCE (2019)

Article Clinical Neurology

Younger age of onset in familial amyotrophic lateral sclerosis is a result of pathogenic gene variants, rather than ascertainment bias

Puja R. Mehta et al.

JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY (2019)

Proceedings Paper Computer Science, Information Systems

Predicting Non-Invasive Ventilation in ALS Patients using Stratified Disease Progression Groups

Sofia Pires et al.

2018 18TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW) (2018)

Article Pharmacology & Pharmacy

Edaravone: a new hope for deadly amyotrophic lateral sclerosis

R. Bhandari et al.

DRUGS OF TODAY (2018)

Article Medicine, Research & Experimental

Clinical Spectrum of Amyotrophic Lateral Sclerosis (ALS)

Leslie I. Grad et al.

COLD SPRING HARBOR PERSPECTIVES IN MEDICINE (2017)

Review Medicine, General & Internal

Amyotrophic lateral sclerosis

Michael A. van Es et al.

LANCET (2017)

Article Clinical Neurology

Clinical features of amyotrophic lateral sclerosis and their prognostic value

C. Tard et al.

REVUE NEUROLOGIQUE (2017)

Article Computer Science, Interdisciplinary Applications

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

Andre V. Carreiro et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2015)

Review Clinical Neurology

Diagnosis of muscle diseases presenting with early respiratory failure

Gerald Pfeffer et al.

JOURNAL OF NEUROLOGY (2015)

Review Public, Environmental & Occupational Health

Global Epidemiology of Amyotrophic Lateral Sclerosis: A Systematic Review of the Published Literature

A. Chio et al.

NEUROEPIDEMIOLOGY (2013)

Review Clinical Neurology

Management of respiratory symptoms in ALS

Orla Hardiman

JOURNAL OF NEUROLOGY (2011)

Article Medicine, General & Internal

Amyotrophic lateral sclerosis

Matthew C. Kiernan et al.

LANCET (2011)

Article Computer Science, Artificial Intelligence

Mining sequential patterns by pattern-growth: The PrefixSpan approach

J Pei et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2004)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)