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[Constructing the Bayesian network models to explore the factors related to glomerular and tubular injury].

May 08, 2023

ABOUT THE CONTRIBUTORS

  • W Z Song

    Department of Nephrology, the Fifth Hospital of Shanxi Medical University (Shanxi Provincial People’s Hospital), Taiyuan 030012, China.

    L X Qiu

    School of Public Health, Shanxi Medical University, Taiyuan 030001, China.

    X C Wang

    School of Public Health, Shanxi Medical University, Taiyuan 030001, China.

    Y H Li

    Shanxi Provincial Key Laboratory of Kidney Disease, Taiyuan 030012, China.

    F Y Hu

    Department of Neurology, the Fifth Hospital of Shanxi Medical University (Shanxi Provincial People’s Hospital), Taiyuan 030012, China.

    Y F Li

    Department of Nephrology, the Fifth Hospital of Shanxi Medical University (Shanxi Provincial People’s Hospital), Shanxi Provincial Key Laboratory of Kidney Disease, Taiyuan 030012, China.

    R S Li

    Department of Nephrology, the Fifth Hospital of Shanxi Medical University (Shanxi Provincial People’s Hospital), Shanxi Provincial Key Laboratory of Kidney Disease, Taiyuan 030012, China.

    X S Zhou

    Department of Nephrology, the Fifth Hospital of Shanxi Medical University (Shanxi Provincial People’s Hospital), Shanxi Provincial Key Laboratory of Kidney Disease, Taiyuan 030012, China.

REFERENCES & ADDITIONAL READING

PubMed

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