Waikato Environment for Knowledge Analysis (WEKA) as a Data Analysis Method Identifying Potential Hematological Parameters for Early Diagnosis of Cervical Cancer

HUNG-MING CHIU, SHIH-EN LIN, YEN-WEI CHU, CHIH-JUNG CHEN

Open source

DOI
10.21873/invivo.13909
Published
2025-02-26
Container
In Vivo
Publisher
International Institute of Anticancer Research
Open access
unknown

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BibTeX

@article{allodium:10.21873/invivo.13909,
  title = {Waikato Environment for Knowledge Analysis (WEKA) as a Data Analysis Method Identifying Potential Hematological Parameters for Early Diagnosis of Cervical Cancer},
  author = {HUNG-MING CHIU and SHIH-EN LIN and YEN-WEI CHU and CHIH-JUNG CHEN},
  year = {2025},
  journal = {In Vivo},
  doi = {10.21873/invivo.13909},
  url = {https://doi.org/10.21873/invivo.13909}
}

RIS

TY  - JOUR
TI  - Waikato Environment for Knowledge Analysis (WEKA) as a Data Analysis Method Identifying Potential Hematological Parameters for Early Diagnosis of Cervical Cancer
AU  - HUNG-MING CHIU
AU  - SHIH-EN LIN
AU  - YEN-WEI CHU
AU  - CHIH-JUNG CHEN
PY  - 2025
JO  - In Vivo
DO  - 10.21873/invivo.13909
UR  - https://doi.org/10.21873/invivo.13909
ER  - 

APA

CHIU, H., LIN, S., CHU, Y., & CHEN, C. (2025). Waikato Environment for Knowledge Analysis (WEKA) as a Data Analysis Method Identifying Potential Hematological Parameters for Early Diagnosis of Cervical Cancer. In Vivo. https://doi.org/10.21873/invivo.13909

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