Evaluation of Pregnancy Risks in Women with Subchorionic Hematoma Using Machine Learning Models

Lan Wang; Aiping Qin; Yihua Yang; Yufu Jin; Qiuyan Huang; Xinyue Huang; Yu Feng; Ting Liang

doi:10.12659/MSM.945472

21 December 2024 : Clinical Research

Evaluation of Pregnancy Risks in Women with Subchorionic Hematoma Using Machine Learning Models

Lan Wang

^{BCDEF 1,2,3}, Aiping Qin

^{A 2*}, Yihua Yang^{C 2}, Yufu Jin^{B 2}, Qiuyan Huang^{B 2}, Xinyue Huang^{B 2}, Yu Feng^{B 2}, Ting Liang^{B 4}

DOI: 10.12659/MSM.945472

Med Sci Monit 2024; 30:e945472

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Figure 2 Impact weight importance of clinical indices on delivery outcomes (XGboost). The image was plotted using Matplotlib (1.18.4) and Seaborn (1.18.4).

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Evaluation of Pregnancy Risks in Women with Subchorionic Hematoma Using Machine Learning Models

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