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Machine learning in Huntington's disease: exploring the Enroll-HD dataset for prognosis and driving capability prediction.

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Title: Machine learning in Huntington's disease: exploring the Enroll-HD dataset for prognosis and driving capability prediction.
Authors: Ouwerkerk J; Department of Pathology and Clinical Bioinformatics, Erasmus Medical Center (EMC), Wytemaweg, 3015 CN, Rotterdam, The Netherlands., Feleus S; Department of Neurology, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands.; Department of Clinical Epidemiology, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands., van der Zwaan KF; Department of Neurology, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands., Li Y; Department of Pathology and Clinical Bioinformatics, Erasmus Medical Center (EMC), Wytemaweg, 3015 CN, Rotterdam, The Netherlands., Roos M; Department of Human Genetics, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands., van Roon-Mom WMC; Department of Human Genetics, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands., de Bot ST; Department of Neurology, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands., Wolstencroft KJ; Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands., Mina E; Department of Human Genetics, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands. e.mina@lumc.nl.
Source: Orphanet journal of rare diseases [Orphanet J Rare Dis] 2023 Jul 27; Vol. 18 (1), pp. 218. Date of Electronic Publication: 2023 Jul 27.
Publication Type: Observational Study; Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101266602 Publication Model: Electronic Cited Medium: Internet ISSN: 1750-1172 (Electronic) Linking ISSN: 17501172 NLM ISO Abbreviation: Orphanet J Rare Dis Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: Machine learning in Huntington's disease: exploring the Enroll-HD dataset for prognosis and driving capability prediction.
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  Data: <searchLink fieldCode="AU" term="%22Ouwerkerk+J%22">Ouwerkerk J</searchLink>; Department of Pathology and Clinical Bioinformatics, Erasmus Medical Center (EMC), Wytemaweg, 3015 CN, Rotterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Feleus+S%22">Feleus S</searchLink>; Department of Neurology, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands.; Department of Clinical Epidemiology, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands.<br /><searchLink fieldCode="AU" term="%22van+der+Zwaan+KF%22">van der Zwaan KF</searchLink>; Department of Neurology, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; Department of Pathology and Clinical Bioinformatics, Erasmus Medical Center (EMC), Wytemaweg, 3015 CN, Rotterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Roos+M%22">Roos M</searchLink>; Department of Human Genetics, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands.<br /><searchLink fieldCode="AU" term="%22van+Roon-Mom+WMC%22">van Roon-Mom WMC</searchLink>; Department of Human Genetics, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands.<br /><searchLink fieldCode="AU" term="%22de+Bot+ST%22">de Bot ST</searchLink>; Department of Neurology, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Wolstencroft+KJ%22">Wolstencroft KJ</searchLink>; Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Mina+E%22">Mina E</searchLink>; Department of Human Genetics, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands. e.mina@lumc.nl.
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  Data: <searchLink fieldCode="JN" term="%22101266602%22">Orphanet journal of rare diseases</searchLink> [Orphanet J Rare Dis] 2023 Jul 27; Vol. 18 (1), pp. 218. <i>Date of Electronic Publication: </i>2023 Jul 27.
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  Data: Observational Study; Journal Article; Research Support, Non-U.S. Gov't
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101266602 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1750-1172 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2217501172%22">17501172 </searchLink><i>NLM ISO Abbreviation: </i>Orphanet J Rare Dis <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37501188
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        Value: 10.1186/s13023-023-02785-4
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        Text: English
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              Text: 2023 Jul 27
              Type: published
              Y: 2023
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