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Disease Delineation for Multiple Sclerosis, Friedreich Ataxia, and Healthy Controls Using Supervised Machine Learning on Speech Acoustics.

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Title: Disease Delineation for Multiple Sclerosis, Friedreich Ataxia, and Healthy Controls Using Supervised Machine Learning on Speech Acoustics.
Authors: Schultz, Benjamin G.1, ben.schultz@psiconnect.org, ben.schultz@psiconnect.org, Joukhadar, Zaher2, zaher.joukhadar@unimelb.edu.au, Nattala, Usha2, usha.nattala@unimelb.edu.au, Quiroga, Maria del Mar2, mar.quiroga@unimelb.edu.au, Noffs, Gustavo1, gustavo.noffs@monash.edu, Rojas, Sandra1, sandra.rojas@uss.cl, Reece, Hannah1, hannahreece@ymail.com, Van Der Walt, Anneke3, anneke.vanderwalt@monash.edu, Vogel, Adam P.1, vogela@unimelb.edu.au
Source: IEEE Transactions on Neural Systems & Rehabilitation Engineering; 2024, Vol. 31, p4278-4285, 8p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 182093835
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PubType: Academic Journal
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        Value: 10.1109/TNSRE.2023.3321874
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              Text: 2024
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              Y: 2023
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