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Discovering and Analyzing Alternative Treatments Hypothesis via Social Health Data

机译:通过社会健康数据发现和分析替代治疗假设

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摘要

User-generated social health data can provide valuable information to extend the status of the medical knowledge. We present a tool geared towards social health data exploration and reasoning. Starting from a repository of semantically linked social health data, we enable researchers to discover alternative treatments as well as similar conditions by exploring the semantic repository via potentially compatible concepts. Researchers are prompted with the features of the concepts under investigation to analyze similarities and contradictions, when present. Concepts are enriched with confidence values that help researchers in assessing the reliability of the information they are analyzing.
机译:用户生成的社会健康数据可以提供有价值的信息来扩展医学知识的状态。我们提出了一种旨在实现社会健康数据探索和推理的工具。从语义链接的社会健康数据的存储库开始,我们使研究人员能够通过潜在兼容的概念来探索语义存储库来发现替代治疗以及类似的条件。促使研究人员提出了正在调查的概念的特征,以便在现有时分析相似之处和矛盾。概念充满了置信度值,帮助研究人员评估他们正在分析的信息的可靠性。

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