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Cognitive systems for allocating medical data access permissions using historical correlations

机译:使用历史相关性分配医疗数据访问权限的认知系统

摘要

Embodiments of the present invention provide a computer-implemented method for allocating medical data access permissions using historical correlations. The method receives a request for medical research data from a user. The method executes natural language processing to interpret the received request. The method generates a database query based on a trained model to identify a medical research data set that is responsive to the request. The method queries one or more medical databases using the generated query to identify the medical research data set that is responsive to the request. The medical research data set that is identified includes the requested medical research data as well as additional medical research data that, although not requested by the user, is found to be relevant to the request based on the trained model. The method includes transmitting the medical research data set to the user.
机译:本发明的实施例提供了一种用于使用历史相关性来分配医疗数据访问许可的计算机实现的方法。该方法从用户接收对医学研究数据的请求。该方法执行自然语言处理以解释所接收的请求。该方法基于训练后的模型生成数据库查询,以识别响应该请求的医学研究数据集。该方法使用所生成的查询来查询一个或多个医学数据库,以识别响应于该请求的医学研究数据集。所识别的医学研究数据集包括所请求的医学研究数据以及其他医学研究数据,尽管这些数据不是用户所要求的,但基于经训练的模型却发现与请求相关。该方法包括将医学研究数据集发送给用户。

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