Prognostic enrichment for early-stage Huntington’s disease: An explainable machine learning approach for clinical trial-Reference-Cited by-同舟云学术

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Prognostic enrichment for early-stage Huntington’s disease: An explainable machine learning approach for clinical trial

Published:2024 Issue: Volume:43 Page:103650
ISSN:2213-1582
Container-title:NeuroImage: Clinical
language:en
Short-container-title:NeuroImage: Clinical

Author:

Ghofrani-Jahromi Mohsen,Poudel Govinda R.,Razi Adeel,Abeyasinghe Pubu M.,Paulsen Jane S.,Tabrizi Sarah J.,Saha Susmita,Georgiou-Karistianis Nellie

Funder

National Institutes of Health

Shiraz University

National Center for Advancing Translational Sciences

University of New South Wales

CHDI Foundation

National Health and Medical Research Council

Publisher

Elsevier BV

Reference103 articles.

1. Tracking Huntingtonʼs disease progression using motor, functional, cognitive, and imaging markers;Abeyasinghe;Mov. Disord.,2021

2. Utility of Huntington’s disease assessments by disease stage: floor/ceiling effects;Abreu;Front. Neurol.,2021

3. A knowledge-based system for brain tumor segmentation using only 3D FLAIR images;Amirmoezzi;Australas. Phys. Eng. Sci. Med.,2019

4. Biomarker development for Huntington’s disease;Andre;Drug Discov. Today,2014

5. A clinical decision support system for the prediction of quality of life in ALS;Antoniadi;J Pers Med.,2022

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