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Research Article

What do you think caused your ALS? An analysis of the CDC national amyotrophic lateral sclerosis patient registry qualitative risk factor data using artificial intelligence and qualitative methodology

Danielle Boyce1 Center for Quantitative Methods and Data Science, Institute for Clinical Research and Health Policy Studies, Tufts University School of Medicine, Boston, MA, USA;2 Johns Hopkins University Schools of Medicine, Baltimore, MD, USACorrespondence[email protected]
,
Jaime Raymond3 Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry, Office of Innovation and Analytics, National ALS Registry (CDC/ATSDR), Atlanta, GA, USA, and
,
Theodore C. Larson3 Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry, Office of Innovation and Analytics, National ALS Registry (CDC/ATSDR), Atlanta, GA, USA, and
,
Eddie Kirkland4 ICF, Inc., Atlanta, GA, USA
,
D. Kevin Horton3 Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry, Office of Innovation and Analytics, National ALS Registry (CDC/ATSDR), Atlanta, GA, USA, and
&
Paul Mehta3 Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry, Office of Innovation and Analytics, National ALS Registry (CDC/ATSDR), Atlanta, GA, USA, and
Received 30 Jan 2024, Accepted 21 Apr 2024, Published online: 08 May 2024

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