Wang et al., 2022 - Google Patents
Early diagnosis of Parkinson's disease with Speech Pronunciation features based on XGBoost modelWang et al., 2022
- Document ID
- 6376138189933054353
- Author
- Wang X
- Chen X
- Wang Q
- Chen G
- Publication year
- Publication venue
- 2022 IEEE 2nd International Conference on Software Engineering and Artificial Intelligence (SEAI)
External Links
Snippet
Speech disorder is one of the early symptoms of Parkinson's disease. In order to accurately diagnose the Parkinson's disease in early time, we propose a Parkinson's disease diagnosis method based on machine learning. XGBoost algorithm was applied to detect and classify …
- 206010061536 Parkinson's disease 0 title abstract description 19
Classifications
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- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06N99/00—Subject matter not provided for in other groups of this subclass
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06N3/00—Computer systems based on biological models
- G06N3/12—Computer systems based on biological models using genetic models
- G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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