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Updated: Jun 6, 2025

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用机器学习算法对晚期胎儿生长限制的预测模型

Seon Ui Lee1, Sae Kyung Choi1, Yun Sung Jo2

  • 1Department of Obstetrics and Gynecology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.

Life (Basel, Switzerland)
|November 27, 2024
PubMed
概括

一个新的机器学习模型可以使用第三个月初的数据预测晚发胎儿生长限制 (FGR). 这种简化的模型有助于评估个别的FGR风险,以更好地进行临床管理.

关键词:
胎儿生长限制 限制胎儿生长怀孕的时间 怀孕的时间机器学习是机器学习.

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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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