标题： 为复杂慢性疾病医学报告建模移动可视化 显示英文标题

标题： Modeling Mobile Visualization for Medical Reports of Complex Chronic Diseases

摘要： 可视化复杂慢性疾病患者的医疗历史（例如，不一致的慢性共病（DCCs））对患者、他们的医疗保健提供者和支持网络来说是一个挑战。DCCs 是指患者具有多种通常无关的慢性疾病，这些疾病可能需要同时处理，但也可能与冲突的治疗建议有关。未来的工作应仔细检查和可视化 DCCs 的医疗报告、症状和治疗建议，以减少治疗冲突并提高患者的生活质量和护理水平。在本研究中，我们探索了各种可视化模型和范式。我们分析了这些模型和范式如何用于可视化多方面的医疗数据。然后，我们提出了一种将非结构化数据转换为时间片段并将其描绘在单一图形模型中的模型。我们报告了我们如何仔细地将多方面的 DCC 记录转移到结构化数据表、可视化图表和各种硬件设备中。 显示英文摘要

摘要： Visualizing medical histories of patients with complex chronic diseases (e.g., discordant chronic comorbidities (DCCs)) is a challenge for patients, their healthcare providers, and their support network. DCCs are health conditions in which patients have multiple, often unrelated, chronic illnesses that may need to be addressed concurrently but may also be associated with conflicting treatment instructions. Future work targeting to reduce treatment conflicts and improve patient quality of life and care should carefully examine and visualize DCCs medical reports, symptoms, and treatment recommendations. In this study, we explore various visualization models and paradigms. We analyze how these models and paradigms are applied to visualize multifaceted medical data. We then propose a model for transforming the unstructured data into temporal slices and depict them in a single graphic model. We report how we carefully moved multifaceted DCC records into; structured data tables, visualization graphs, and various hardware devices.