机器学习在解决关键医疗问题中的发展

Shaista Fatima, G. Sangeetha, P. Ponmurugan, A. Arularasan, A. Prabhu Chakkaravarthy, R. Denis, A. Chinnasamy
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引用次数: 0

摘要

由于机器学习,医疗保健行业经历了实质性的创新和改进。因此,数据管理、临床操作、药物研究和外科手术都取得了更快的进展。由于Covid-19大流行,医疗保健部门现在需要使用这种尖端技术。更重要的是,人们将从技术中获益最多,因为它可以通过确定最佳治疗方案来改善他们的健康状况。由于ML增强的早期疾病检测能力,可以减少医院和诊所再次入院的频率。在本文中,我们将介绍机器学习在医疗保健领域的主要应用,以及它在改变行业方面的卓越优势。
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Machine Learning Development in Solving Critical Medical Problems
As a result of ML, the healthcare industry undergoes substantial innovation and improvement. As a result, data management, clinical operations, drug research, and surgery are all progressing more quickly. The healthcare sector is now required to use this cutting-edge technology because of the Covid-19 pandemic. More importantly, people stand to benefit the most from technology because it may improve their health outcomes by identifying the best treatment alternatives for them. Thanks to ML's enhanced early disease detection capabilities, the frequency of re-admissions to hospitals and clinics can be reduced. In this article, we'll look at the main applications of machine learning in healthcare as well as its exceptional benefits in changing the industry.
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