Intellectual Assessment of Amyotrophic Lateral Sclerosis Using Deep Resemble Forward Neural Network

A Alqahtani, S Alsubai, M Sha, AK Dutta, YD Zhang - Neural Networks, 2024 - Elsevier
Abstract ALS (Amyotrophic Lateral Sclerosis) is a neurodegenerative disorder causing
profound physical disability that severely impairs a patient's life expectancy and quality of …

Artificial intelligence for screening and diagnosis of amyotrophic lateral sclerosis: a systematic review and meta-analysis

TP Umar, N Jain, M Papageorgakopoulou… - … Lateral Sclerosis and …, 2024 - Taylor & Francis
Introduction Amyotrophic lateral sclerosis (ALS) is a rare and fatal neurological disease that
leads to progressive motor function degeneration. Diagnosing ALS is challenging due to the …

A New Artificial Intelligence‐Based Model for Amyotrophic Lateral Sclerosis Prediction

AK Alzahrani, AA Alsheikhy, T Shawly… - … Journal of Intelligent …, 2023 - Wiley Online Library
Currently, amyotrophic lateral sclerosis (ALS) disease is considered fatal since it affects the
central nervous system with no cure or clear treatments. This disease affects the spinal cord …

Molecular classification and interpretation of amyotrophic lateral sclerosis using deep convolution neural networks and Shapley values

A Karim, Z Su, PK West, M Keon… - Genes, 2021 - mdpi.com
Amyotrophic lateral sclerosis (ALS) is a prototypical neurodegenerative disease
characterized by progressive degeneration of motor neurons to severely effect the …

Deep learning methods to predict amyotrophic lateral sclerosis disease progression

C Pancotti, G Birolo, C Rollo, T Sanavia, B Di Camillo… - Scientific reports, 2022 - nature.com
Amyotrophic lateral sclerosis (ALS) is a highly complex and heterogeneous
neurodegenerative disease that affects motor neurons. Since life expectancy is relatively …

AIM in amyotrophic lateral sclerosis

M Ahangaran, A Chiò - Artificial Intelligence in Medicine, 2020 - Springer
Amyotrophic lateral sclerosis (ALS) is a relentlessly progressive neurodegenerative disease
of motor neurons with substantial heterogeneity in its clinical presentation. Survival ranges …

Machine learning solutions applied to amyotrophic lateral sclerosis prognosis: a review

F Papaiz, MET Dourado Jr, RAM Valentim… - Frontiers in Computer …, 2022 - frontiersin.org
The prognosis of Amyotrophic Lateral Sclerosis (ALS), a complex and rare disease,
represents a challenging and essential task to better comprehend its progression and …

Deep learning for prediction of amyotrophic lateral sclerosis using stacked auto encoders

SP Menon - International Journal of Big Data Management, 2020 - inderscienceonline.com
Healthcare is an emerging area in big data. Raw data contains lot of noise in it, hence
cannot produce good results when processed. There is a need to improve the quality of …

[HTML][HTML] Deep learning predictions of survival based on MRI in amyotrophic lateral sclerosis

HK van der Burgh, R Schmidt, HJ Westeneng… - NeuroImage: Clinical, 2017 - Elsevier
Amyotrophic lateral sclerosis (ALS) is a progressive neuromuscular disease, with large
variation in survival between patients. Currently, it remains rather difficult to predict survival …

Moving toward a predictive and personalized clinical approach in amyotrophic lateral sclerosis: novel developments and future directions in diagnosis, genetics …

B Nefussy, VE Drory - EPMA Journal, 2010 - Springer
Amyotrophic lateral sclerosis (ALS) is a rare neurodegenerative disease that affects upper
and lower motor neurons in the brain and spinal cord, with progressive weakness and …