2024年-2025年杭州市过敏原检测数据集

本数据集基于杭州市范围内的真实检测数据，来源于杭州迪安实验室信息管理系统，已完成脱敏处理与字段标准化，具备高度的准确性与可扩展性。数据内容涵盖患者年龄、性别、检测时间、过敏原种类（包括花粉、螨虫、动物皮屑、海鲜、坚果等数类）、IgE数值、临床参考区间、阳性等级方法等关键字段。 支持按地区、过敏原类型、发病季节、年龄分布等多维度分析，适用于医疗科研、个体化健康评估、药物开发、儿童过敏风险预测、食品行业配方优化、保险健康风险评级等多类应用。数据可按需提供结构化CSV或通过API实时调用，满足数智化平台、建模平台及BI工具集成需求，助力客户在疾病预测、精准健康干预和人群风险分层等领域实现价值落地。

This dataset is based on real test data within the scope of Hangzhou City, sourced from the Hangzhou Dia'an Laboratory Information Management System. It has undergone data desensitization and field standardization, boasting high accuracy and scalability. The dataset covers key fields including patient age, gender, test time, allergen types (such as pollen, mites, animal dander, seafood, nuts and other categories), IgE value, clinical reference interval, and positive grading methods. It supports multi-dimensional analysis based on regions, allergen types, onset seasons, age distribution and other dimensions, and is applicable to various scenarios such as medical research, individualized health assessment, drug development, pediatric allergy risk prediction, food industry formula optimization, and insurance health risk rating. The data can be provided as structured CSV files upon request or called in real time via API, meeting the integration requirements of intelligent digital platforms, modeling platforms and BI tools, and helping customers deliver tangible value in fields including disease prediction, precise health intervention and population risk stratification.

搜集汇总

背景与挑战

背景概述

该数据集包含2024-2025年杭州地区脱敏处理的过敏原检测数据，涵盖患者信息、过敏原类型及检测指标等关键字段，支持多维度分析并适用于医疗科研、健康评估等跨领域应用，提供CSV和API两种数据服务形式。