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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.
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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  Data: Validation and interpretation of machine-learning models for rapid identification of active tuberculosis infection using routine laboratory indicators.
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  Data: <searchLink fieldCode="AU" term="%22Liu+ZZ%22">Liu ZZ</searchLink>; Xuzhou Hospital, Beijing Ditan Hospital Affiliated to Capital Medical University, Xuzhou Infectious Diseases Hospital (The 7th People's Hospital of Xuzhou), Xuzhou, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Yuan+Q%22">Yuan Q</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Zhang+YD%22">Zhang YD</searchLink>; School of 1st Clinical Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Zhang+XD%22">Zhang XD</searchLink>; Xuzhou Hospital, Beijing Ditan Hospital Affiliated to Capital Medical University, Xuzhou Infectious Diseases Hospital (The 7th People's Hospital of Xuzhou), Xuzhou, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Liu+J%22">Liu J</searchLink>; Department of Pharmacy, The 6th People's Hospital of Xuzhou, Xuzhou, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Yan+JW%22">Yan JW</searchLink>; Xuzhou Hospital, Beijing Ditan Hospital Affiliated to Capital Medical University, Xuzhou Infectious Diseases Hospital (The 7th People's Hospital of Xuzhou), Xuzhou, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Du+KP%22">Du KP</searchLink>; Department of Pharmacy, The 6th People's Hospital of Xuzhou, Xuzhou, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Chen+HJ%22">Chen HJ</searchLink>; Department of Laboratory Medicine, Shengli Oilfield Central Hospital, Dongying, Shandong, China.<br /><searchLink fieldCode="AU" term="%22Wang+L%22">Wang L</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%22101585359%22">Frontiers in cellular and infection microbiology</searchLink> [Front Cell Infect Microbiol] 2025 Dec 18; Vol. 15, pp. 1718614. <i>Date of Electronic Publication: </i>2025 Dec 18 (<i>Print Publication: </i>2025).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+SA%22">Frontiers Media SA </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101585359 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2235-2988 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222352988%22">22352988 </searchLink><i>NLM ISO Abbreviation: </i>Front Cell Infect Microbiol <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41488479
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        Value: 10.3389/fcimb.2025.1718614
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              Text: 2025 Dec 18
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              Y: 2025
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