帕金森病专病数据模型

帕金森病专病数据模型是由拥有专业医学知识的医学经理们查阅公司内部知识图谱，标准医学文献等，形成标准化帕金森病病种的数据模型。经变量中心精细化管理，创建帕金森病的变量集。 包括通用变量，帕金森病重点关注变量，如头部MR平扫，头部FDG，脑深部电刺激术等。表单中心设计表单并绑定变量，形成可视化表单。变量中心和表单中心的引入，使专病模型维护和动态扩增成为可能，同时，表单形式呈现模式使得使用者更易懂。

The Parkinson's disease (PD) specialized data model is constructed by medical managers with professional medical expertise, who consulted the company's internal knowledge graph, standard medical literature and other relevant resources to develop a standardized data model for Parkinson's disease. Through refined management by the variable center, a variable set for Parkinson's disease is created, which includes general variables and key PD-focused variables such as brain MRI without contrast, cerebral FDG PET, deep brain stimulation (DBS), etc. The form center designs forms and binds them with the variables to generate visualizable forms. The introduction of both the variable center and form center enables the maintenance and dynamic expansion of the specialized disease model, while the form-based presentation approach greatly improves the comprehensibility for end users.

搜集汇总

背景与挑战

背景概述

该数据集是一个标准化的帕金森病专病数据模型，包含通用变量和重点关注变量（如头部MR平扫、脑深部电刺激术等），通过变量中心和表单中心实现动态维护和可视化呈现。