Deep Learning Model for Predicting Intradialytic Hypotension Without Privacy Infringement: A Retrospective Two-Center Study

OBJECTIVE: Previously developed Intradialytic hypotension (IDH) prediction models utilize clinical variables with potential privacy protection issues. We developed an IDH prediction model using minimal variables, without the risk of privacy infringement. METHODS: Unidentifiable data from 63,640 hemo...

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Detalles Bibliográficos
Autores principales: Kim, Hyung Woo, Heo, Seok-Jae, Kim, Minseok, Lee, Jakyung, Park, Keun Hyung, Lee, Gongmyung, Baeg, Song In, Kwon, Young Eun, Choi, Hye Min, Oh, Dong-Jin, Nam, Chung-Mo, Kim, Beom Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300869/
https://www.ncbi.nlm.nih.gov/pubmed/35872786
http://dx.doi.org/10.3389/fmed.2022.878858

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300869/
https://www.ncbi.nlm.nih.gov/pubmed/35872786
http://dx.doi.org/10.3389/fmed.2022.878858

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