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METHODS AND SYSTEMS FOR CALCULATING AND USING STATISTICAL MODELS TO PREDICT MEDICAL EVENTS
专利权人:
THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
发明人:
SARRAFZADEH, MAJID,SUH, MYUNG-KYUNG,LAN, MARS,GHASEMZADEH, HASSAN
申请号:
EP13832651
公开号:
EP2891094A4
申请日:
2013.08.28
申请国别(地区):
EP
年份:
2016
代理人:
摘要:
Systems and methods for generalized precursor pattern discovery that work with a wide range of biomedical signals and applications to detect a wide range of medical events are disclosed. In some embodiments, the methods and systems do not require domain-specific knowledge or significant reconfiguration based on the medical event being analyzed, hence it is also possible to discover patterns previously unknown to experts. In some embodiments, to build precursor pattern detection models, the system obtains annotated monitoring data. Positive and negative segments are extracted from the annotated monitoring data, and are preprocessed. Features are extracted from the preprocessed segments, and selected features are chosen from the extracted features. The selected features are classified to create the precursor pattern detection model The precursor pattern detection model may then be used in real time to detect occurrences of the medical event of interest.
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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