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A prediction model using machine-learning algorithm for assessing intrathecal hyperbaric bupivacaine dose during cesarean section.
Wei, Chang-Na; Wang, Li-Ying; Chang, Xiang-Yang; Zhou, Qing-He.
Affiliation
  • Wei CN; Department of Anesthesia, Jiaxing University Affiliated Women and Children Hospital, Jiaxing, Zhejiang Province, China.
  • Wang LY; Department of Anesthesia, Jiaxing University Affiliated Women and Children Hospital, Jiaxing, Zhejiang Province, China.
  • Chang XY; Department of Anesthesia, Jiaxing University Affiliated Women and Children Hospital, Jiaxing, Zhejiang Province, China.
  • Zhou QH; Department of Anesthesia, Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang Province, China. jxxmxy@163.com.
BMC Anesthesiol ; 21(1): 116, 2021 04 14.
Article in En | MEDLINE | ID: mdl-33853548
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Bupivacaine / Decision Support Techniques / Machine Learning / Anesthesia, Obstetrical / Anesthesia, Spinal Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Pregnancy Language: En Journal: BMC Anesthesiol Year: 2021 Document type: Article Affiliation country: China Country of publication: Reino Unido
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Bupivacaine / Decision Support Techniques / Machine Learning / Anesthesia, Obstetrical / Anesthesia, Spinal Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Pregnancy Language: En Journal: BMC Anesthesiol Year: 2021 Document type: Article Affiliation country: China Country of publication: Reino Unido