地球资源数据云——数据资源详情
胎儿健康分类
该数据集《Fetal Health Classification》主要用于多分类任务，数据形态以图像为主，应用场景偏向医疗健康。 题目说明：Classify the health of a fetus as Normal, Suspect or Pathological using CTG data 任务类型：图像多分类。 建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：fetal_health.csv。 Abstract About this dataset ## Context Reduction of child mortality is reflected in several of the United Nations' Sustainable Development Goals and is a key indicator of human progress. The UN expects that by 2030, countries end preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce under‑5 mortality to at least as low as 25 per 1,000 live births. Parallel to notion of child mortality is of course maternal mortality, which accounts for 295 000 deaths during and following pregnancy and childbirth (as of 2017). The vast majority of these deaths (94%) occurred in low - resource settings, and most could have been prevented.
摘要概览
该数据集《Fetal Health Classification》主要用于多分类任务，数据形态以图像为主，应用场景偏向医疗健康。 题目说明：Classify the health of a fetus as Normal, Suspect or Pathological using CTG data
任务类型：图像多分类。
建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：fetal_health.csv。
Abstract
About this dataset
## Context
Reduction of child mortality is reflected in several of the United Nations' Sustainable Development Goals and is a key indicator of human progress. The UN expects that by 2030, countries end preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce under‑5 mortality to at least as low as 25 per 1,000 live births.
Parallel to notion of child mortality is of course maternal mortality, which accounts for 295 000 deaths during and following pregnancy and childbirth (as of 2017). The vast majority of these deaths (94%) occurred in low - resource settings, and most could have been prevented.