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Trainable diagnostic system and method of use
专利权人:
Marek Belohlavek
发明人:
Marek Belohlavek,Eileen M. McMahon
申请号:
US11405289
公开号:
US08308646B2
申请日:
2006.04.17
申请国别(地区):
US
年份:
2012
代理人:
摘要:
A trainable, adaptable system for analyzing functional or structural clinical data can be used to identify a given pathology based on functional data. The system includes a signal processor that receives functional data from a device monitoring a subject and normalizes the functional data over at least one cycle of functional data. The system also includes a neural network having a plurality of weights selected based on predetermined data and receiving and processing the normalized functional data based on the plurality of weights to generate at least one metric indicating a degree of relation between the normalized functional data to the predetermined data. A diagnostic interpretation module is included for receiving the at least one metric from the neural network and classifying the functional data as indicative of the given pathology or not indicative of the given pathology based on a comparison of the at least one metric to at least one probability distribution of a likelihood of the given pathology.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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