日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

New labor curves of dilation and station to improve the accuracy of predicting labor progress

新的宫缩扩张和胎位曲线可提高预测产程进展的准确性

Hamilton, Emily F; Zhoroev, Tilekbek; Warrick, Philip A; Tarca, Adi L; Garite, Thomas J; Caughey, Aaron B; Melillo, Jason; Prasad, Mona; Neilson, Duncan; Singson, Peter; McKay, Kimberlee; Romero, Roberto

Data-Driven Insights into Labor Progression with Gaussian Processes

基于高斯过程的劳动力发展数据驱动洞察

Zhoroev, Tilekbek; Hamilton, Emily F; Warrick, Philip A