Construction of diagnostic models with machine-learning algorithms for colorectal cancer based on clinical laboratory parameters.

Si D, Shu Y, Jiang H, Lin X, Yuan Q, Deng S, Luo W, Lin Y, Wang J, Zhan C, Shaukat A, Ambe PC, Niu S, Luo Z

Open source

DOI
10.21037/jgo-24-516
Published
2024 Oct 31
Container
Journal of gastrointestinal oncology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.21037/jgo-24-516,
  title = {Construction of diagnostic models with machine-learning algorithms for colorectal cancer based on clinical laboratory parameters.},
  author = {Si D and Shu Y and Jiang H and Lin X and Yuan Q and Deng S and Luo W and Lin Y and Wang J and Zhan C and Shaukat A and Ambe PC and Niu S and Luo Z},
  year = {2024},
  journal = {Journal of gastrointestinal oncology},
  doi = {10.21037/jgo-24-516},
  url = {https://doi.org/10.21037/jgo-24-516}
}

RIS

TY  - JOUR
TI  - Construction of diagnostic models with machine-learning algorithms for colorectal cancer based on clinical laboratory parameters.
AU  - Si D
AU  - Shu Y
AU  - Jiang H
AU  - Lin X
AU  - Yuan Q
AU  - Deng S
AU  - Luo W
AU  - Lin Y
AU  - Wang J
AU  - Zhan C
AU  - Shaukat A
AU  - Ambe PC
AU  - Niu S
AU  - Luo Z
PY  - 2024
JO  - Journal of gastrointestinal oncology
DO  - 10.21037/jgo-24-516
UR  - https://doi.org/10.21037/jgo-24-516
ER  - 

APA

D, S., Y, S., H, J., X, L., Q, Y., S, D., W, L., Y, L., J, W., C, Z., A, S., PC, A., S, N., & Z, L. (2024). Construction of diagnostic models with machine-learning algorithms for colorectal cancer based on clinical laboratory parameters.. Journal of gastrointestinal oncology. https://doi.org/10.21037/jgo-24-516

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