Prediction of Nurses Allotment to Patient in Hospital through Game Theory

S. Dash, R. Sahu
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Abstract

Allotment of nurses to patients is a critical task in terms of better treatment. Nurses should be appointed according to a patient’s health condition, type of disease & financial condition. Again understaffing of nurses may hamper patient health & condition. Similarly, overstaffing of nurses is a waste of man powers. Adequate staffing of nurses is crucial. We propose a technique using game theory to meet over staffing and under staffing of nurses. Game theory plays a vital role to meet the exact requirement. Nash equilibrium can be used for taking all possible decisions, like appointment of nurses in different categories for smooth treatment of patients. However, final & most suitable decision can be taken using perfect Nash equilibrium. This technique is a perfect technique to implement in case of vital & critical decision points.
基于博弈论的医院护士分配预测
就更好的治疗而言,为病人分配护士是一项关键任务。护士应该根据病人的健康状况、疾病类型和经济状况来指定。护士人手不足可能会妨碍病人的健康和状况。同样,过多的护士是对人力的浪费。配备足够的护士至关重要。我们提出了一种使用博弈论的技术来满足护士人员配备过多和人员配备不足的问题。博弈论在满足这一要求方面起着至关重要的作用。纳什均衡可以用来做所有可能的决定,比如不同类别的护士的任命,以顺利治疗病人。然而,最终和最合适的决策可以使用完美纳什均衡。这项技术是一个完美的技术实施的情况下,至关重要的决策点。
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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