遗传性乳腺癌和卵巢癌风险评估的视觉分析方法

B. Drohan, G. Grinstein
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引用次数: 1

摘要

遗传性乳腺癌和卵巢癌(HBOC)高危人群的识别和病例管理包括综合患者自我报告的家族史、定量风险模型分析和当前临床护理标准的数据。本文描述了一种集成的交互式可视化和分析方法,用于表示这些数据,适用于大规模风险分层。我们描述了这种将HBOC风险信息与临床决策支持相结合的显示,这种支持也可能对其他癌症综合征有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visual Analytic Methods for Hereditary Breast and Ovarian Cancer Risk Assessment
The identification and case management of those at risk high for Hereditary Breast and Ovarian Cancer (HBOC) involves the synthesis of data from self reported patient family history, quantitative risk model analysis, and current clinical standards of care. This paper describes an integrated interactive visualization and analysis approach for the presentation of these data that is suitable for large scale risk stratification. We describe this display of HBOC risk information integrated with a clinical decision support that is also potentially useful across other cancer syndromes.
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