The scientific literature contains a wealth of information from different fields on potential disease mechanisms. However, identifying and prioritizing mechanisms for further analytical evaluation presents enormous challenges in terms of the quantity and diversity of published research. The application of data mining approaches to the literature offers the potential to identify and prioritize mechanisms for more focused and detailed analysis.

中文翻译：

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MELODI：挖掘丰富的文学对象以衍生中间体

科学文献包含来自不同领域的关于潜在疾病机制的大量信息。然而，就已发表研究的数量和多样性而言，确定和优先考虑进一步分析评估的机制提出了巨大的挑战。将数据挖掘方法应用于文献提供了识别和优先排序机制的潜力，以进行更集中和更详细的分析。