Sangam: A Confluence of Knowledge Streams

Authors’ Response to Peer Reviews of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study”

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dc.creator Surodina, S
dc.creator Lam, C
dc.creator Grbich, S
dc.creator Milne-Ives, M
dc.creator van Velthoven, M
dc.creator Meinert, E
dc.date 2022-03-08T12:39:56Z
dc.date 2022-03-08T12:39:56Z
dc.date 2021-06-11
dc.date.accessioned 2022-05-26T21:09:45Z
dc.date.available 2022-05-26T21:09:45Z
dc.identifier 2563-6316
dc.identifier e28917
dc.identifier http://hdl.handle.net/10026.1/18918
dc.identifier 10.2196/28917
dc.identifier 2563-6316
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/228970
dc.description <jats:p />
dc.language en
dc.language en
dc.publisher JMIR Publications
dc.relation ISSN:2563-6316
dc.relation E-ISSN:2563-6316
dc.rights 2022-03-09
dc.rights Not known
dc.title Authors’ Response to Peer Reviews of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study”
dc.type Journal Article


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