Correction: Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-04-01
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| Series: | BMC Nephrology |
| Online Access: | https://doi.org/10.1186/s12882-023-03139-9 |
| _version_ | 1797836578709569536 |
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| author | Hualong Liao Yujie Yang Ying Zeng Ying Qiu Yang Chen Linfang Zhu Ping Fu Fei Yan Yu Chen Huaihong Yuan |
| author_facet | Hualong Liao Yujie Yang Ying Zeng Ying Qiu Yang Chen Linfang Zhu Ping Fu Fei Yan Yu Chen Huaihong Yuan |
| author_sort | Hualong Liao |
| collection | DOAJ |
| first_indexed | 2024-04-09T15:12:17Z |
| format | Article |
| id | doaj.art-d6b7141c105f42929a29a1522eef00e3 |
| institution | Directory Open Access Journal |
| issn | 1471-2369 |
| language | English |
| last_indexed | 2024-04-09T15:12:17Z |
| publishDate | 2023-04-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Nephrology |
| spelling | doaj.art-d6b7141c105f42929a29a1522eef00e32023-04-30T11:10:08ZengBMCBMC Nephrology1471-23692023-04-012411210.1186/s12882-023-03139-9Correction: Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patientsHualong Liao0Yujie Yang1Ying Zeng2Ying Qiu3Yang Chen4Linfang Zhu5Ping Fu6Fei Yan7Yu Chen8Huaihong Yuan9Department of Applied Mechanics, College of Architecture and Environment, Sichuan UniversityDepartment of Nephrology, West China Hospital, Sichuan University/ West China School of Nursing, Sichuan UniversityDepartment of Nephrology, West China Hospital, Sichuan University/ West China School of Nursing, Sichuan UniversityDepartment of Nephrology, West China Hospital, Sichuan University/ West China School of Nursing, Sichuan UniversityDepartment of Nephrology, West China Hospital, Sichuan University/ West China School of Nursing, Sichuan UniversityDepartment of Nephrology, West China Hospital, Sichuan University/ West China School of Nursing, Sichuan UniversityKidney Research Laboratory, Division of Nephrology, West China Hospital of Sichuan UniversityChongqing Municipality Clinical Research Center for Geriatric Diseases, Chongqing University Three Gorges Hospital, School of Medicine, Chongqing UniversityDepartment of Applied Mechanics, College of Architecture and Environment, Sichuan UniversityDepartment of Nephrology, West China Hospital, Sichuan University/ West China School of Nursing, Sichuan Universityhttps://doi.org/10.1186/s12882-023-03139-9 |
| spellingShingle | Hualong Liao Yujie Yang Ying Zeng Ying Qiu Yang Chen Linfang Zhu Ping Fu Fei Yan Yu Chen Huaihong Yuan Correction: Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients BMC Nephrology |
| title | Correction: Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients |
| title_full | Correction: Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients |
| title_fullStr | Correction: Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients |
| title_full_unstemmed | Correction: Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients |
| title_short | Correction: Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients |
| title_sort | correction use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients |
| url | https://doi.org/10.1186/s12882-023-03139-9 |
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