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Conference Paper: Combating orthopaedic infection with machine learning for predicting antibiotic susceptibility and mortality in septic arthritis – a 17-year study with 447 subjects

TitleCombating orthopaedic infection with machine learning for predicting antibiotic susceptibility and mortality in septic arthritis – a 17-year study with 447 subjects
Authors
Issue Date2020
Citation
The 40th Annual Congress of The Hong Kong Orthopaedic Association (HKOA), Hong Kong, 31 October–1 November 2020 How to Cite?
DescriptionAward Paper Session- no. AP04
Free Paper Session VIII: Paediatric Orthopaedics, Musculoskeletal Oncology and Others - no. FP8.15
Persistent Identifierhttp://hdl.handle.net/10722/306763

 

DC FieldValueLanguage
dc.contributor.authorWong, SHJ-
dc.contributor.authorFEI, N-
dc.contributor.authorMau, MC-
dc.contributor.authorChu, SPJ-
dc.contributor.authorLee, ALH-
dc.contributor.authorLi, X-
dc.contributor.authorHu, Y-
dc.contributor.authorYan, CH-
dc.contributor.authorLeung, FKL-
dc.contributor.authorLau, TW-
dc.date.accessioned2021-10-22T07:39:15Z-
dc.date.available2021-10-22T07:39:15Z-
dc.date.issued2020-
dc.identifier.citationThe 40th Annual Congress of The Hong Kong Orthopaedic Association (HKOA), Hong Kong, 31 October–1 November 2020-
dc.identifier.urihttp://hdl.handle.net/10722/306763-
dc.descriptionAward Paper Session- no. AP04-
dc.descriptionFree Paper Session VIII: Paediatric Orthopaedics, Musculoskeletal Oncology and Others - no. FP8.15-
dc.languageeng-
dc.relation.ispartofHong Kong Orthopaedic Association Annual Congress, 2020-
dc.titleCombating orthopaedic infection with machine learning for predicting antibiotic susceptibility and mortality in septic arthritis – a 17-year study with 447 subjects-
dc.typeConference_Paper-
dc.identifier.emailWong, SHJ: januswong@connect.hku.hk-
dc.identifier.emailLi, X: xinli@hku.hk-
dc.identifier.emailHu, Y: yhud@hku.hk-
dc.identifier.emailLeung, FKL: klleunga@hkucc.hku.hk-
dc.identifier.emailLau, TW: catcher@hkucc.hku.hk-
dc.identifier.authorityWong, SHJ=rp02525-
dc.identifier.authorityLi, X=rp02808-
dc.identifier.authorityHu, Y=rp00432-
dc.identifier.authorityYan, CH=rp00303-
dc.identifier.authorityLeung, FKL=rp00297-
dc.identifier.hkuros328760-

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