地球资源数据云——数据资源详情
糖尿病的早期分类
该数据集《Early Classification of Diabetes》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：Predict the risk of diabetes using 16 tabular features. 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：diabetes_data.csv。 About this dataset Diabetes is one of the fastest growing chronic life threatening diseases that have already affected 422 million people worldwide according to the report of World Health Organization (WHO), in 2018. Due to the presence of a relatively long asymptomatic phase, early detection of diabetes is always desired for a clinically meaningful outcome. Around 50% of all people suffering from diabetes are undiagnosed because of its long - term asymptomatic phase. This dataset contains 520 observations with 17 characteristics, collected using direct questionnaires and diagnosis results from the patients in the Sylhet Diabetes Hospital in Sylhet, Bangladesh. How to use this dataset
摘要概览
该数据集《Early Classification of Diabetes》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：Predict the risk of diabetes using 16 tabular features.
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：diabetes_data.csv。
About this dataset
Diabetes is one of the fastest growing chronic life threatening diseases that have already affected 422 million people worldwide according to the report of World Health Organization (WHO), in 2018. Due to the presence of a relatively long asymptomatic phase, early detection of diabetes is always desired for a clinically meaningful outcome.
Around 50% of all people suffering from diabetes are undiagnosed because of its long - term asymptomatic phase.
This dataset contains 520 observations with 17 characteristics, collected using direct questionnaires and diagnosis results from the patients in the Sylhet Diabetes Hospital in Sylhet, Bangladesh.
How to use this dataset