Testing_dataset.xlsx

In order to evaluate fetal health metrics based on cardiotocography (CTG) analysis, this dataset is utilized for testing. In order to evaluate the health of the fetus, it includes functions like the baseline fetal heart rate (FHR), accelerations, fetal movements, uterine contractions, decelerations (normal, suspicious, pathological), and short-term variability (STV). Machine learning models are typically trained using 80% of the data, with 20% reserved for testing to assess model performance and guarantee precise forecasts for fetal health outcomes.

为基于胎心监护（cardiotocography, CTG）分析评估胎儿健康指标，本数据集被用于测试。为评估胎儿健康状况，该数据集包含基线胎心率（baseline fetal heart rate, FHR）、胎心率加速、胎儿运动、子宫收缩、胎心率减速（正常、可疑、病理性）以及短期变异（short-term variability, STV）等特征。通常会使用80%的数据训练机器学习模型，预留20%的数据用于测试，以评估模型性能，确保对胎儿健康结局的预测精准可靠。