Predictive performance achieved for each MDS-UPDRS time point and each imaging feature type, computed through leave-one-out cross-validation using the default workflow (“Repli.”).

<p>Metric: R2, coefficient of determination. Green cells corresponds to original performance reported in [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0317566#pone.0317566.ref006" target="_blank">6</a>]; Cyan cells corresponds to best pe...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Elodie Germani (20765922) (author)
مؤلفون آخرون:	Nikhil Bhagwat (5748704) (author), Mathieu Dugré (10337486) (author), Rémi Gau (17181994) (author), Albert A. Montillo (20765925) (author), Kevin P. Nguyen (20765928) (author), Andrzej Sokolowski (20129439) (author), Madeleine Sharp (11725531) (author), Jean-Baptiste Poline (40679) (author), Tristan Glatard (703681) (author)
منشور في:	2025
الموضوعات:	Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified state fmri ). poorly understood physiopathology larger project investigating feature extraction pipelines common neurodegenerative disorder including data collection data processing workflow chance performance using predict individual ’ obtained significantly better machine learning models analysis pipeline closest functional mri features progression using demographic pd current state div >< p potential neuroimaging biomarkers several neuroimaging biomarkers original study (< neuroimaging features possible using different data several sources parkinson ’ models described image analysis input features imaging features established biomarkers original work original study original ones original cohort variability related studied recently reho extracted r </ provide recommendations org ), obtained results neuroimaging studies likely explained information available early stages disease progression different criteria cohort selection challenges encountered 0 ),
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Predictive performance achieved for each MDS-UPDRS time point and each imaging feature type, computed through leave-one-out cross-validation using the default workflow (“Repli.”).

مواد مشابهة