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Text Mining Models to Predict Brain Deaths Using X-Rays Clinical Notes

机译:使用X射线临床注释的文本挖掘模型预测脑死亡

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The prediction of events is a task associated to the Data Science area. In the health, this method is extremely useful to predict critical events that may occur in people, or in a specific area. The Text Mining is a technique that consists in retrieving information from text files. In the Medical Field, the Data Mining and Text Mining solutions can help to prevent the occurrence of certain events to a patient. This project involves the use of Text Mining to predict the Brain Death by using the X-Ray clinical notes. This project is creating reliable predictive models with non-structured text. This project was developed using real data provided by Centra Hospitalar do Porto. The results achieved are very good reaching a sensitivity of 98% and a specificity of 88%.
机译:事件的预测是与数据科学领域相关的任务。在健康方面,此方法对于预测可能在人或特定区域中发生的关键事件非常有用。文本挖掘是一种从文本文件中检索信息的技术。在医疗领域,数据挖掘和文本挖掘解决方案可以帮助防止患者发生某些事件。该项目涉及使用文本挖掘通过使用X射线临床记录来预测脑死亡。该项目正在使用非结构化文本创建可靠的预测模型。该项目是使用波尔图中心医院提供的真实数据开发的。达到的结果非常好,灵敏度达到98%,特异性达到88%。

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