面向智能医疗神经科学管理的轻量级深度学习算法创新发展

M. Chithambarathanu, V. V. Kumar, P. Sreelekha, J. Samson Isaac, Mandeep Kaur Ghumman, D. A. Subhahan
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引用次数: 0

摘要

由于医疗活动的主要对象——个人的客观特征,医疗保健在经济关系的结构和复杂性中占有特殊的地位。在这些方面中,关键是所有医疗活动中普遍存在的不确定性:人类健康动态的不确定性,以及医疗干预结果的不确定性。医疗保健中最重要的问题是医疗保健的质量问题,这是很难高估的,因为它关系到健康,有时甚至关系到人的生命。本文提出了一种基于神经科学的轻量级深度学习算法来管理医疗保健问题。只有利用计算智能对医疗保健系统的神经科学管理在各个层面达到最优,才能解决质量问题。在解决这些问题时,优先考虑的是卫生机构的行政人员。神经科学管理的成长和发展是提高其在特定情况下适应性医疗机构绩效的关键杠杆之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Innovation Development of Light Weight Deep Learning Algorithm for Smart Healthcare Neural Science Management
Healthcare occupies a special place in the structure and complexity of economic relations, due to the objective features of the main object of medical activities - an individual. Of these aspects, the key is the pervasive uncertainty in all medical activities: the uncertainty of the dynamics of human health, and the uncertainty of the outcome of medical intervention. The most important issue in healthcare is the problem of the quality of medical care, which is difficult to overestimate because it is related to health, and sometimes human life. In this paper, the neural science-based light weight deep learning algorithm was proposed to manage healthcare issues. The quality problem can only be solved if the neural science management of the medical care system is optimal at all levels by using computational intelligence. In solving these problems, priority is given to the administrative staff of health institutions. The growth and development of neural science management are one of the key levers to improving the performance of its adaptive medical institutions in a particular situation.
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