Predictive Analysis of Amyotrophic Lateral Sclerosis Progression and Mortality in a Clinic Cohort From Singapore.

Journal: Muscle & nerve
Published Date: Apr 23, 2025

Abstract

INTRODUCTION: There is currently no comprehensive Amyotrophic Lateral Sclerosis (ALS) patient database in Singapore comparable to those available in Europe and the United States. We established the Singapore ALS registry (SingALS) to draw meaningful inferences about the ALS population in Singapore through developing statistical and machine learning-based predictive models.

Authors

  • Ian Qian Xu
    Duke-NUS Medical School, Singapore.
  • Ling Guo
    Department of Nephrology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Ji'nan, China. Electronic address: gulixiji@sdu.edu.cn.
  • Jing Xu
    First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Stella Setiawan
    National Neuroscience Institute, Singapore.
  • Xiao Deng
    The State Key Laboratory of Advanced Optical Communication Systems and Networks, Intelligent Microwave Lightwave Integration Innovation Center (imLic), Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Yew Long Lo
    National Neuroscience Institute, Singapore.
  • Josiah Yui Huei Chai
    National Neuroscience Institute, Singapore.
  • Zachary Simmons
    Department of Neurology, Pennsylvania State University, Hershey, Pennsylvania, USA.
  • Savitha Ramasamy
    I2R, A*STAR, 1 Fusionopolis Way, 21-01 Connexis, 138632, Singapore.
  • Crystal Jing Jing Yeo
    National Neuroscience Institute, Singapore.

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