Comparison and validation of machine learning-based screening models for elevated depressive symptoms in peritoneal dialysis patients.
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| Title: | Comparison and validation of machine learning-based screening models for elevated depressive symptoms in peritoneal dialysis patients. |
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| Authors: | Cao Y; Department of Hepatobiliary Surgery, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, China.; Hubei Key Laboratory for Kidney Disease Pathogenesis and Intervention, Huangshi, Hubei, China.; Hubei Polytechnic University School of Medicine, Huangshi, Hubei, China., Yin D; Department of Hepatobiliary Surgery, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, China.; Hubei Key Laboratory for Kidney Disease Pathogenesis and Intervention, Huangshi, Hubei, China.; Hubei Polytechnic University School of Medicine, Huangshi, Hubei, China., Yu X; Department of Hepatobiliary Surgery, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, China.; Hubei Key Laboratory for Kidney Disease Pathogenesis and Intervention, Huangshi, Hubei, China.; Hubei Polytechnic University School of Medicine, Huangshi, Hubei, China., Peng F; Department of Hepatobiliary Surgery, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, China.; Hubei Key Laboratory for Kidney Disease Pathogenesis and Intervention, Huangshi, Hubei, China.; Hubei Polytechnic University School of Medicine, Huangshi, Hubei, China. |
| Source: | Frontiers in public health [Front Public Health] 2026 Jun 24; Vol. 14, pp. 1792557. Date of Electronic Publication: 2026 Jun 24 (Print Publication: 2026). |
| Publication Type: | Journal Article; Multicenter Study; Comparative Study; Validation Study |
| Journal Info: | Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2296-2565 |
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| DOI: | 10.3389/fpubh.2026.1792557 |
