Predicting preeclampsia in early pregnancy using clinical and laboratory data via machine learning model.

Chen S, Li J, Zhang X, Xu W, Qiu Z, Yan S, Zhao W, Zhao Z, Tian P, Zhao Q, Zhang Q, Chen W, Li H, Ruan X, Xiao G, Zhang S, Hu L, Qin J, Huang W, Li Z, Wang S, Zhang R, Huang S, Wang X, Yao Y, Ran J, Cheng D, Luo Q, Pan T, Gao R, Zheng J, Wang Y, Liu C, Cao X, Zhou X, Xu N, Zhang L, Han X, Wang H, Feng S, Li S, Zhang J, Zhao L, Wei F

Open source

DOI: 10.1186/s12911-025-02999-5
Published: 2025 May 1
Container: BMC medical informatics and decision making
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s12911-025-02999-5,
  title = {Predicting preeclampsia in early pregnancy using clinical and laboratory data via machine learning model.},
  author = {Chen S and Li J and Zhang X and Xu W and Qiu Z and Yan S and Zhao W and Zhao Z and Tian P and Zhao Q and Zhang Q and Chen W and Li H and Ruan X and Xiao G and Zhang S and Hu L and Qin J and Huang W and Li Z and Wang S and Zhang R and Huang S and Wang X and Yao Y and Ran J and Cheng D and Luo Q and Pan T and Gao R and Zheng J and Wang Y and Liu C and Cao X and Zhou X and Xu N and Zhang L and Han X and Wang H and Feng S and Li S and Zhang J and Zhao L and Wei F},
  year = {2025},
  journal = {BMC medical informatics and decision making},
  doi = {10.1186/s12911-025-02999-5},
  url = {https://doi.org/10.1186/s12911-025-02999-5}
}

RIS

TY  - JOUR
TI  - Predicting preeclampsia in early pregnancy using clinical and laboratory data via machine learning model.
AU  - Chen S
AU  - Li J
AU  - Zhang X
AU  - Xu W
AU  - Qiu Z
AU  - Yan S
AU  - Zhao W
AU  - Zhao Z
AU  - Tian P
AU  - Zhao Q
AU  - Zhang Q
AU  - Chen W
AU  - Li H
AU  - Ruan X
AU  - Xiao G
AU  - Zhang S
AU  - Hu L
AU  - Qin J
AU  - Huang W
AU  - Li Z
AU  - Wang S
AU  - Zhang R
AU  - Huang S
AU  - Wang X
AU  - Yao Y
AU  - Ran J
AU  - Cheng D
AU  - Luo Q
AU  - Pan T
AU  - Gao R
AU  - Zheng J
AU  - Wang Y
AU  - Liu C
AU  - Cao X
AU  - Zhou X
AU  - Xu N
AU  - Zhang L
AU  - Han X
AU  - Wang H
AU  - Feng S
AU  - Li S
AU  - Zhang J
AU  - Zhao L
AU  - Wei F
PY  - 2025
JO  - BMC medical informatics and decision making
DO  - 10.1186/s12911-025-02999-5
UR  - https://doi.org/10.1186/s12911-025-02999-5
ER  -

APA

S, C., J, L., X, Z., W, X., Z, Q., S, Y., W, Z., Z, Z., P, T., Q, Z., Q, Z., W, C., H, L., X, R., G, X., S, Z., L, H., J, Q., W, H., Z, L., S, W., R, Z., S, H., X, W., Y, Y., J, R., D, C., Q, L., T, P., R, G., J, Z., Y, W., C, L., X, C., X, Z., N, X., L, Z., X, H., H, W., S, F., S, L., J, Z., L, Z., & F, W. (2025). Predicting preeclampsia in early pregnancy using clinical and laboratory data via machine learning model.. BMC medical informatics and decision making. https://doi.org/10.1186/s12911-025-02999-5

Source records

pubmed · retrieved 2026-09-26T21:22:10.313Z