DDXPlus Dataset

We are releasing under the CC-BY licence a new large-scale dataset for Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the medical domain. The dataset contains patients synthesized using a proprietary medical knowledge base and a commercial rule-based AD system. Patients in the dataset are characterized by their socio-demographic data, a pathology they are suffering from, a set of symptoms and antecedents related to this pathology, and a differential diagnosis. The symptoms and antecedents can be binary, categorical and multi-choice, with the potential of leading to more efficient and natural interactions between ASD/AD systems and patients. To the best of our knowledge, this is the first large-scale dataset that includes the differential diagnosis, and non-binary symptoms and antecedents. For more information, please check our paper.本研究基于知识共享署名（CC-BY）许可，发布一款面向医学领域自动症状检测（Automatic Symptom Detection, ASD）与自动诊断（Automatic Diagnosis, AD）系统的新型大规模数据集。该数据集包含基于专有医学知识库与商业化基于规则的AD系统合成的模拟患者样本。数据集中的模拟患者信息涵盖社会人口统计学资料、所患疾病、与该疾病相关的一系列症状及前驱因素，以及鉴别诊断结果。数据集中的症状与前驱因素包含二值型、分类型与多选型多种类型，有望实现ASD/AD系统与患者之间更高效自然的交互。据我们所知，这是首款同时包含鉴别诊断、非二值型症状与前驱因素的大规模医学数据集。如需了解更多详情，请参阅我们的研究论文。