A machine learning-based online prediction model for recurrence risk in patients with Klebsiella pneumoniae liver abscess: a multicenter retrospective study.
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| Title: | A machine learning-based online prediction model for recurrence risk in patients with Klebsiella pneumoniae liver abscess: a multicenter retrospective study. |
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| Authors: | Zhang L; The First Department of General Surgery, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China., Wang Y; Department of Hepatobiliary Surgery, Kailuan General Hospital, Tangshan, Hebei, China., Dong Y; Department of Interventional Therapy, First Hospital of Qinhuangdao, Qinhuangdao, China., Qu Y; The First Department of General Surgery, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China., Fu Y; The First Department of General Surgery, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China., Chen J; The First Department of General Surgery, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China., Chen K; The First Department of General Surgery, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China., Cui J; The First Department of General Surgery, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China., Bai Z; The First Department of General Surgery, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China., Li J; The First Department of General Surgery, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China., Yu A; The First Department of General Surgery, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China. |
| Source: | Frontiers in cellular and infection microbiology [Front Cell Infect Microbiol] 2026 May 20; Vol. 16, pp. 1830022. Date of Electronic Publication: 2026 May 20 (Print Publication: 2026). |
| Publication Type: | Journal Article; Multicenter Study; Validation Study |
| Journal Info: | Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101585359 Publication Model: eCollection Cited Medium: Internet ISSN: 2235-2988 (Electronic) Linking ISSN: 22352988 NLM ISO Abbreviation: Front Cell Infect Microbiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2235-2988 |
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| DOI: | 10.3389/fcimb.2026.1830022 |
