infinite-dataset-hub/HealthInsureAnomaly

HealthInsureAnomaly数据集是为了健康保险领域的异常检测而设计的。它包含了保险理赔、保户互动和其他相关文档的文本描述。每条记录都包含可能的异常，这些异常可能指示欺诈行为、错误或异常值。该数据集特别适用于训练机器学习模型以识别健康保险数据中的不规则性。

The HealthInsureAnomaly dataset is designed for anomaly detection within the health insurance domain. It contains various textual descriptions of insurance claims, policyholder interactions, and other related documents. Each record includes potential anomalies that could indicate fraudulent activity, errors, or outliers. The dataset is particularly useful for training machine learning models to identify irregularities in health insurance data.