Data Science in Improving Emergency Medicine Care in Low Middle Income Countries - The Need of Time

Shahan Waheed, M. Abid
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Abstract

Data science has received much boost and appreciation in the past few years. It is in discussion in the healthcare industry both in the developed and developing nation’s landscape. (1) Data science is defined as a concept to unify statistics, data analysis, machine learning, artificial intelligence, and their related methods in order to understand and analyze actual facts with the data. (2) It has got the potential of making better decisions in healthcare, starting from personalized treatments, acute and preventive care. (3) In the current essay, we aim to explore the areas where data science can be helpful to improve emergency care and its systems in low middle-income countries.
数据科学在改善中低收入国家急诊医疗护理中的应用——需要时间
在过去的几年中,数据科学得到了极大的推动和重视。发达国家和发展中国家的医疗保健行业都在讨论这个问题。(1)数据科学是将统计学、数据分析、机器学习、人工智能及其相关方法统一起来,用数据来理解和分析实际事实的概念。(2)从个性化治疗、急性和预防性护理开始,它具有在医疗保健方面做出更好决策的潜力。(3)在当前的文章中,我们的目标是探索数据科学可以帮助改善中低收入国家急诊护理及其系统的领域。
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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