自主开发的医疗数据分析系统

2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) Pub Date : 2018-09-01 DOI:10.1109/SYNASC.2018.00058

Adriana Dinis, Todor Ivascu, V. Negru

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引用次数: 1

摘要

本文提出了一种基于agent的医院自开发系统的概念方案。该系统监测病人在住院期间和出院后的情况，目的是了解模式并预测未来的问题。由于其复杂性和动态性，必须自动生成代理。为了获得好的结果，他们需要相互合作和“竞争”。通过将元启发式算法与强化和聚类技术相结合，我们的目标是在决策中实现很大程度的自治。

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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A Self Developing System for Medical Data Analysis

In this paper we present a concept project for a self developing system based on agents built for a hospital. The system monitors patients during and after being released from hospitalization, with the aim of understanding patterns and predicting future problems. Due to its complexity and dynamism the agents must be automatically generated. They need to cooperate and "compete" with each other in order to get good results. By combining meta-heuristic algorithms with reinforcement and clustering techniques we target a large degree of autonomy in decision making.

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2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

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