处理智能方法在个性化用药决策识别中的应用

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI:10.1109/ACIT49673.2020.9208822

N. Melnykova, N. Shakhovska, Volodymyr Melnykov, M. Zakharchuk, Mykola Logoyda, V. Mahlovanyi

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引用次数: 4

摘要

该研究是在应用机器学习方法来搜索关键集群上进行的，这使得调查个体患者特征成为可能，并确定集群实例之间的距离。建议确定实例之间的平均距离，以便找到最佳性能指标。这将决定该集群实例的最佳状态。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Applying Processing Intelligence Methods for Classify Persons in Identify Personalized Medication Decisions

The study was conducted on the applying of machine learning methods to search for key clusters, which made it possible to investigate individual patient characteristics, and to determine distances between cluster instances. It was suggested to determine the average distance between instances in order to find optimal performance metrics. That will determine the optimal state of the instance of this cluster.

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来源期刊

2020 10th International Conference on Advanced Computer Information Technologies (ACIT)

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