Patient-specific game-based transfer method for Parkinson's disease severity prediction
- 17 February 2024
- journal article
- research article
- Published by Elsevier in Artificial Intelligence in Medicine
- Vol. 150, 102810
Abstract
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Funding Information
- National Natural Science Foundation of China
- Hebei Provincial Natural Science Foundation
This publication has 43 references indexed in Scilit:
- On Using the Shapley Value to Approximate the Choquet Integral in Cases of Uncertain ArgumentsIEEE Transactions on Fuzzy Systems, 2017
- Transfer Boosting With Synthetic Instances for Class Imbalanced Object RecognitionIEEE Transactions on Cybernetics, 2016
- Stress modelling and prediction in presence of scarce dataJournal of Biomedical Informatics, 2016
- ParkinsoNET: Estimation of UPDRS Score Using Hubness-Aware Feedforward Neural NetworksApplied Artificial Intelligence, 2016
- A Gaussian mixture framework for incremental nonparametric regression with topology learning neural networksNeurocomputing, 2016
- ASSESSMENT OF PARKINSON'S DISEASE PROGRESSION USING NEURAL NETWORK AND ANFIS MODELSNeural Network World, 2016
- Automatic detection of Parkinson's disease in running speech spoken in three different languagesThe Journal of the Acoustical Society of America, 2016
- Double-bootstrapping source data selection for instance-based transfer learningPattern Recognition Letters, 2013
- A comparison of regression methods for remote tracking of Parkinson’s disease progressionExpert Systems with Applications, 2012
- Accurate Telemonitoring of Parkinson's Disease Progression by Noninvasive Speech TestsIEEE Transactions on Biomedical Engineering, 2010