Multicenter validation of a machine learning model for predicting intrapartum high fever in parturients receiving labor analgesia.
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| Title: | Multicenter validation of a machine learning model for predicting intrapartum high fever in parturients receiving labor analgesia. |
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| Authors: | Liu B; Department of Anesthesiology, Chengdu Jinjiang District Women & Children Health Hospital, Chengdu, Sichuan, China., Ling L; Department of Anesthesiology, Chongqing General Hospital, Chongqing University, Chongqing, China., Li C; Department of Anesthesiology, Sichuan Jinxin Xinan Women & Children's Hospital, Chengdu, Sichuan, China., Dou S; Department of Anesthesiology, Chengdu Jinjiang District Women & Children Health Hospital, Chengdu, Sichuan, China., Zhang J; Department of Anesthesiology, Sichuan Women's and Children's Hospital/Women's and Children's Hospital, Chengdu Medical College, Chengdu, Sichuan, China., Jia F; Department of Anesthesiology, Chengdu Jinjiang District Women & Children Health Hospital, Chengdu, Sichuan, China. |
| Source: | Frontiers in medicine [Front Med (Lausanne)] 2026 May 07; Vol. 13, pp. 1827290. Date of Electronic Publication: 2026 May 07 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2296-858X |
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| DOI: | 10.3389/fmed.2026.1827290 |
