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Conference Paper: A Machine Learning Approach to Explore Cervical Myelopathic Location from Somatosensory Evoked Potentials

TitleA Machine Learning Approach to Explore Cervical Myelopathic Location from Somatosensory Evoked Potentials
Authors
Wang, YLI, GCui, HYHu, Y
Issue Date2017
Citation
The 3rd International Conference on Fuzzy Systems and Data Mining (FSDM 2017), in conjunction with the 7th International Conference on Electronics, Communications and Networks (CECNet 2017), National Dong Hwa University (NDHU), Hualien, Taiwan, 24-27 November 2017 How to Cite?
DescriptionOral Session_6 Machine Learning - no. FSDM2235
Persistent Identifierhttp://hdl.handle.net/10722/267612

 

DC FieldValueLanguage
dc.contributor.authorWang, Y-
dc.contributor.authorLI, G-
dc.contributor.authorCui, HY-
dc.contributor.authorHu, Y-
dc.date.accessioned2019-02-22T09:44:02Z-
dc.date.available2019-02-22T09:44:02Z-
dc.date.issued2017-
dc.identifier.citationThe 3rd International Conference on Fuzzy Systems and Data Mining (FSDM 2017), in conjunction with the 7th International Conference on Electronics, Communications and Networks (CECNet 2017), National Dong Hwa University (NDHU), Hualien, Taiwan, 24-27 November 2017-
dc.identifier.urihttp://hdl.handle.net/10722/267612-
dc.descriptionOral Session_6 Machine Learning - no. FSDM2235-
dc.languageeng-
dc.relation.ispartofThe 3rd International Conference on Fuzzy Systems and Data Mining (FSDM2017)-
dc.titleA Machine Learning Approach to Explore Cervical Myelopathic Location from Somatosensory Evoked Potentials-
dc.typeConference_Paper-
dc.identifier.emailHu, Y: yhud@hku.hk-
dc.identifier.authorityHu, Y=rp00432-
dc.identifier.hkuros290204-

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