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Cooperation Between Data Analysts and Medical Experts: A Case Study

机译:数据分析师与医学专家之间的合作:一个案例研究

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The medical diagnosis and determine a correct medical procedure represent a comprehensive process that consists of many input information and potential associations. This information can lead to clinical reasoning to resolve a patient's health problem and set the treatment. Effective communication between the medical expert and data analyst can support this process more effectively, dependent on the available data. It is essential to create a shared vocabulary for this cooperation to reduce possible misunderstandings and unnecessary experiments. In our work, we performed exploratory data analysis, statistical tests, correlation analysis, and logistic regression in close cooperation with the participated expert thanks to whom we could verify the achieved results of our models. The collaboration between the medical expert and data analytic requires a lot of communication and explanation from the medical expert because of the correct interpretation of; the medical data and its resulting associations. On the other hand, it requires a proper understanding of the task from the data analyst's point of view, a lot of iterations of graphs, and other models, which must be modified to be easy to read and interpret.
机译:医疗诊断和确定正确的医疗程序代表了一个包含许多输入信息和潜在关联的综合过程。该信息可导致临床推理,以解决患者的健康问题并制定治疗方案。医学专家和数据分析师之间的有效沟通可以根据可用数据更有效地支持此过程。为这种合作创建共享的词汇表对于减少可能的误解和不必要的实验至关重要。在我们的工作中,我们与与会专家紧密合作,进行了探索性数据分析,统计检验,相关分析和逻辑回归,感谢他们可以验证我们模型的实现结果。医学专家和数据分析之间的合作需要对医学专家的大量沟通和解释,因为它们的解释正确。医学数据及其产生的关联。另一方面,它需要从数据分析人员的角度正确理解任务,图形的大量迭代以及其他模型,必须对其进行修改以使其易于阅读和解释。

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