ASAP Data Repository
Published December 4, 2024 | Version v1
Dataset Open

Dataset for Li et al 2024: Development of a Simplified Smell Test to Identify Patients with Typical Parkinson's as Informed by Multiple Cohorts, Machine Learning and External Validation

Authors/Creators

  • 1. ROR icon Paracelsus Elena Klinik Kassel
  • 2. ROR icon Ottawa Hospital

Description

Dataset files reported in :

Development of a Simplified Smell Test to Identify Patients with Typical Parkinson’s as Informed by Multiple Cohorts, Machine Learning and External Validation
Authors: Juan Li, Kelsey Grimes, Joseph Saade, Julianna J. Tomlinson, Tiago A. Mestre, Sebastian Schade, Sandrina Weber, Mohammed Dakna, Tamara Wicke, Elisabeth Lang, Claudia Trenkwalder, Natalina Salmaso, Andrew Frank, Tim Ramsay, Douglas Manuel, aSCENT-PD Investigators, Brit Mollenhauer, Michael G. Schlossmacher
medRxiv 2024.08.09.24311696; doi: https://doi.org/10.1101/2024.08.09.24311696

Files

DeNoPa_cut.csv

Files (181.0 kB)

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md5:7330552f2e07d8d2a4d9f268ff3820d7
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md5:5a6cd609c25f53a16f9eaaf2a199b54b
94.1 kB Preview Download
md5:5d87fd30a68899e39a7bd186ce5a86e0
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md5:5c35e0900101a70214cb499bbe30b3fb
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Additional details

Related works

Is published in
Preprint: 10.1101/2024.08.09.24311696 (DOI)

Funding

Aligning Science Across Parkinson's
Olfactory Circuits: Alpha-Synuclein-Rich Neurons Respond to Environmental Triggers at the Origin of Parkinson Disease ASAP-020625

Software

Repository URL
https://github.com/JuanLiOHRI/Abbreviated-Smell-Test-PD
Programming language
R
Development Status
Active