论文标题
为复杂慢性疾病的医学报告建模移动可视化
Modeling Mobile Visualization for Medical Reports of Complex Chronic Diseases
论文作者
论文摘要
可视化复杂慢性疾病患者的病史（例如，不一致的慢性合并症（DCC））是患者，其医疗保健提供者及其支持网络的挑战。 DCC是健康状况，患者患有多种，通常是无关的慢性疾病，可能需要同时解决，但也可能与矛盾的治疗指示有关。未来的工作针对减少治疗冲突并改善患者生活质量和护理的目标应仔细检查和可视化DCCS医疗报告，症状和治疗建议。在这项研究中，我们探索了各种可视化模型和范例。我们分析了如何应用这些模型和范例来可视化多方面的医疗数据。然后，我们提出了一个模型，以将非结构化数据转换为时间切片，并在单个图形模型中描绘它们。我们报告如何将多方面的DCC记录仔细地移至；结构化数据表，可视化图和各种硬件设备。
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.
