Work

Predicting amyotrophic lateral sclerosis (ALS) progression with machine learning

Year: 2023

Type: article

Source: Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration

DOI: 10.1080/21678421.2023.2285443

Authors: Muzammil Arif Din Abdul Jabbar, Ling Guo, Sonakshi Nag, Yang Guo, Zachary Simmons, Erik P. Pioro, Savitha Ramasamy, Crystal Jing Jing Yeo

Institutions: Agency for Science, Technology and Research, University of Cambridge, Institute for Infocomm Research, Pennsylvania State University, Northwestern University, Nanyang Technological University, University of Aberdeen, Duke-NUS Medical School, National Neuroscience Institute, Imperial College London

Language: English

Topic: Amyotrophic Lateral Sclerosis Research

Subfield: Clinical Neurology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4389356969

FWCI: 5.07

Cites: 51

Cited by: 32

Related to: 10