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Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration Volume 19, 2018 - Issue 3-4
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Research Article

Longitudinal modeling to predict vital capacity in amyotrophic lateral sclerosis

Samad Jahandideh1 Origent Data Sciences, Inc, Vienna, VA, USA, View further author information
,
Albert A. Taylor1 Origent Data Sciences, Inc, Vienna, VA, USA, View further author information
,
Danielle Beaulieu1 Origent Data Sciences, Inc, Vienna, VA, USA, View further author information
,
Mike Keymer1 Origent Data Sciences, Inc, Vienna, VA, USA, View further author information
,
Lisa Meng2 Cytokinetics, Inc, South San Francisco, CA, USA, View further author information
,
Amy Bian2 Cytokinetics, Inc, South San Francisco, CA, USA, View further author information
,
Nazem Atassi3 Neurological Clinical Research Institute (NCRI), Department of Neurology, Massachusetts General Hospital, Boston, MA, USA, and View further author information
,
Jinsy Andrews2 Cytokinetics, Inc, South San Francisco, CA, USA, ;4 The Neurological Institute, Columbia University, New York, NY, USAView further author information
&
David L. Ennist1 Origent Data Sciences, Inc, Vienna, VA, USA, Correspondence[email protected]
View further author information
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Pages 294-302 | Received 09 Aug 2017, Accepted 03 Dec 2017, Published online: 20 Dec 2017

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Muzammil Arif Din Abdul Jabbar, Ling Guo, Sonakshi Nag, Yang Guo, Zachary Simmons, Erik P. Pioro, Savitha Ramasamy & Crystal Jing Jing Yeo. Predicting amyotrophic lateral sclerosis (ALS) progression with machine learning. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 0:0, pages 1-14.
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Articles from other publishers (12)

Erica Tavazzi, Enrico Longato, Martina Vettoretti, Helena Aidos, Isotta Trescato, Chiara Roversi, Andreia S. Martins, Eduardo N. Castanho, Ruben Branco, Diogo F. Soares, Alessandro Guazzo, Giovanni Birolo, Daniele Pala, Pietro Bosoni, Adriano Chiò, Umberto Manera, Mamede de Carvalho, Bruno Miranda, Marta Gromicho, Inês Alves, Riccardo Bellazzi, Arianna Dagliati, Piero Fariselli, Sara C. Madeira & Barbara Di Camillo. (2023) Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. Artificial Intelligence in Medicine 142, pages 102588.
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Venkateswaran Rajagopalan, Krishna G. Chaitanya & Erik P. Pioro. (2023) Quantitative Brain MRI Metrics Distinguish Four Different ALS Phenotypes: A Machine Learning Based Study. Diagnostics 13:9, pages 1521.
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Meysam Ahangaran, Abdolrahman Peimankar, Uffe Kock Wiil & Adriano Chio. (2022) Impact of laboratory biomarkers on ALS disease progression: a probabilistic causation approach. Network Modeling Analysis in Health Informatics and Bioinformatics 11:1.
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Yuko Kobayakawa, Koji Todaka, Yu Hashimoto, Senri Ko, Wataru Shiraishi, Junji Kishimoto, Jun-ichi Kira, Ryo Yamasaki & Noriko Isobe. (2022) A novel quantitative indicator for disease progression rate in amyotrophic lateral sclerosis. Journal of the Neurological Sciences 442, pages 120389.
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Yixiao Huang, Xiaoli Wu & Rosa H. M. Chan. (2022) Stratification and Survival Prediction for Amyotrophic Lateral Sclerosis Patients. Stratification and Survival Prediction for Amyotrophic Lateral Sclerosis Patients.
Neta Zach & Melanie L. Leitner. (2022) PRO-ACTive sharing of clinical data. Nature Biotechnology 40:7, pages 999-1000.
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Meysam Ahangaran & Adriano Chiò. 2022. Artificial Intelligence in Medicine. Artificial Intelligence in Medicine 1691 1703 .
Kristiana Salmon & Angela Genge. 2021. Spectrums of Amyotrophic Lateral Sclerosis. Spectrums of Amyotrophic Lateral Sclerosis 161 180 .
Danielle Beaulieu, Albert A. Taylor, Dustin Pierce, Jonavelle Cuerdo, Mark Schactman, Mike Keymer & David L. Ennist. 2021. Neurotherapeutics in the Era of Translational Medicine. Neurotherapeutics in the Era of Translational Medicine 333 366 .
Meysam Ahangaran & Adriano Chiò. 2020. Artificial Intelligence in Medicine. Artificial Intelligence in Medicine 1 13 .
Vincent Grollemund, Gaétan Le Chat, Marie-Sonia Secchi-Buhour, François Delbot, Jean-François Pradat-Peyre, Peter Bede & Pierre-François Pradat. (2020) Development and validation of a 1-year survival prognosis estimation model for Amyotrophic Lateral Sclerosis using manifold learning algorithm UMAP. Scientific Reports 10:1.
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Vincent Grollemund, Pierre-François Pradat, Giorgia Querin, François Delbot, Gaétan Le Chat, Jean-François Pradat-Peyre & Peter Bede. (2019) Machine Learning in Amyotrophic Lateral Sclerosis: Achievements, Pitfalls, and Future Directions. Frontiers in Neuroscience 13.
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