AIMC Topic: Huntington Disease

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A Machine Learning Framework for Gait Classification Using Inertial Sensors: Application to Elderly, Post-Stroke and Huntington's Disease Patients.

Sensors (Basel, Switzerland) Jan 21, 2016
Machine learning methods have been widely used for gait assessment through the estimation of spatio-temporal parameters. As a further step, the objective of this work is to propose and validate a general probabilistic modeling approach for the classi...
Humans Machine Learning Female Aged Male Middle Aged Support Vector Machine Signal Processing, Computer-Assisted Stroke Gait Markov Chains Monitoring, Ambulatory Accelerometry Paresis Huntington Disease
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Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration.

Biometrics Jul 14, 2015
Predicting disease risk and progression is one of the main goals in many clinical research studies. Cohort studies on the natural history and etiology of chronic diseases span years and data are collected at multiple visits. Although, kernel-based st...
Humans Machine Learning Algorithms Computer Simulation Disease Progression Support Vector Machine Longitudinal Studies Models, Statistical Alzheimer Disease Biometry Statistics, Nonparametric Huntington Disease
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MIMI-ONET: Multi-Modal image augmentation via Butterfly Optimized neural network for Huntington DiseaseDetection.

Brain research May 15, 2025
Huntington's disease (HD) is a chronic neurodegenerative ailment that affects cognitive decline, motor impairment, and psychiatric symptoms. However, the existing HD detection methods are struggle with limited annotated datasets that restricts their ...
Humans Neural Networks, Computer Algorithms Brain Female Male Image Processing, Computer-Assisted Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Wavelet Analysis Huntington Disease
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