Development and validation of a machine learning-based model for identifying liver fibrosis in individuals with prior Schistosoma japonicum infection: a step toward precision management.

Wang T, Jiang Y, Zhang J, Li W, Xue H, Hua H, Wang W, Yang K

Open source

DOI
10.1186/s40249-026-01485-y
Published
2026 Aug 20
Container
Infectious diseases of poverty
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1186/s40249-026-01485-y,
  title = {Development and validation of a machine learning-based model for identifying liver fibrosis in individuals with prior Schistosoma japonicum infection: a step toward precision management.},
  author = {Wang T and Jiang Y and Zhang J and Li W and Xue H and Hua H and Wang W and Yang K},
  year = {2026},
  journal = {Infectious diseases of poverty},
  doi = {10.1186/s40249-026-01485-y},
  url = {https://doi.org/10.1186/s40249-026-01485-y}
}

RIS

TY  - JOUR
TI  - Development and validation of a machine learning-based model for identifying liver fibrosis in individuals with prior Schistosoma japonicum infection: a step toward precision management.
AU  - Wang T
AU  - Jiang Y
AU  - Zhang J
AU  - Li W
AU  - Xue H
AU  - Hua H
AU  - Wang W
AU  - Yang K
PY  - 2026
JO  - Infectious diseases of poverty
DO  - 10.1186/s40249-026-01485-y
UR  - https://doi.org/10.1186/s40249-026-01485-y
ER  - 

APA

T, W., Y, J., J, Z., W, L., H, X., H, H., W, W., & K, Y. (2026). Development and validation of a machine learning-based model for identifying liver fibrosis in individuals with prior Schistosoma japonicum infection: a step toward precision management.. Infectious diseases of poverty. https://doi.org/10.1186/s40249-026-01485-y

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