Validation and interpretation of machine-learning models for rapid identification of active tuberculosis infection using routine laboratory indicators.
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| Title: | Validation and interpretation of machine-learning models for rapid identification of active tuberculosis infection using routine laboratory indicators. |
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| Authors: | Liu ZZ; Xuzhou Hospital, Beijing Ditan Hospital Affiliated to Capital Medical University, Xuzhou Infectious Diseases Hospital (The 7th People's Hospital of Xuzhou), Xuzhou, Jiangsu, China., Yuan Q; Xuzhou Hospital, Beijing Ditan Hospital Affiliated to Capital Medical University, Xuzhou Infectious Diseases Hospital (The 7th People's Hospital of Xuzhou), Xuzhou, Jiangsu, China.; Department of Laboratory Medicine, Shengli Oilfield Central Hospital, Dongying, Shandong, China.; School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu, China., Zhang YD; School of 1st Clinical Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China., Zhang XD; Xuzhou Hospital, Beijing Ditan Hospital Affiliated to Capital Medical University, Xuzhou Infectious Diseases Hospital (The 7th People's Hospital of Xuzhou), Xuzhou, Jiangsu, China., Liu J; Department of Pharmacy, The 6th People's Hospital of Xuzhou, Xuzhou, Jiangsu, China., Yan JW; Xuzhou Hospital, Beijing Ditan Hospital Affiliated to Capital Medical University, Xuzhou Infectious Diseases Hospital (The 7th People's Hospital of Xuzhou), Xuzhou, Jiangsu, China., Du KP; Department of Pharmacy, The 6th People's Hospital of Xuzhou, Xuzhou, Jiangsu, China., Chen HJ; Department of Laboratory Medicine, Shengli Oilfield Central Hospital, Dongying, Shandong, China., Wang L; School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu, China.; Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China. |
| Source: | Frontiers in cellular and infection microbiology [Front Cell Infect Microbiol] 2025 Dec 18; Vol. 15, pp. 1718614. Date of Electronic Publication: 2025 Dec 18 (Print Publication: 2025). |
| Publication Type: | Journal Article; 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.2025.1718614 |
