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Analysis of Drug Resistance Characteristics and Risk Factors of Cavitary Tuberculosis Based on Whole Genome Sequencing and Machine Learning.

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Title: Analysis of Drug Resistance Characteristics and Risk Factors of Cavitary Tuberculosis Based on Whole Genome Sequencing and Machine Learning.
Authors: Yang, Qingpeng1 (AUTHOR), Xie, Zhouhua2 (AUTHOR), Ye, Jing3 (AUTHOR), Dong, Wenyi4 (AUTHOR), Huang, Yan3 (AUTHOR), Qin, Huifang3 (AUTHOR), Zhou, Chongxing3 (AUTHOR), Huang, Liwen3 (AUTHOR), Ou, Jin3 (AUTHOR), Chang, Yue5 (AUTHOR)
Source: Open Forum Infectious Diseases. Jun2026, Vol. 13 Issue 6, p1-17. 17p.
Database: Academic Search Ultimate
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  Data: Analysis of Drug Resistance Characteristics and Risk Factors of Cavitary Tuberculosis Based on Whole Genome Sequencing and Machine Learning.
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  Data: <searchLink fieldCode="JN" term="%22Open+Forum+Infectious+Diseases%22">Open Forum Infectious Diseases</searchLink>. Jun2026, Vol. 13 Issue 6, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195421406
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        Value: 10.1093/ofid/ofag328
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        Text: English
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      – TitleFull: Analysis of Drug Resistance Characteristics and Risk Factors of Cavitary Tuberculosis Based on Whole Genome Sequencing and Machine Learning.
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              Text: Jun2026
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              Y: 2026
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              Value: 13
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              Value: 6
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            – TitleFull: Open Forum Infectious Diseases
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