文章基本信息

标题：Impact of Machine Learning and Artificial Intelligence in Health Care Informatics
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作者：Prudhvi Veeravelley ; Varsha Sree Katragadda ; Rishik Chan Tammineedi 等
期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2019
卷号：8
期号：2
页码：120-124
出版社：IJCSN publisher
摘要：The prime attention towards biomedical research is of a great significance when we take into the account the importance of human health and various emergency, medical and clinical issues associated with it since it claims to have a high importance in understanding and accelerating the medical research and associated subjects and also the revolution by applying machine learning to massive health care information. Yet biomedical research is not only drowning in data, but also starving for knowledge. Current challenges in biomedical research include information overloading. The need to combine large amounts of structured, semi-structured, and vast amounts of unstructured information where the big data concept comes into the use and the need to optimize processes, progression of work and guidelines advancement, in order to increase capacity while it simultaneously reduces the costs providing improving efficiencies . It is our hope that explaining these connections will decode these techniques and provide a set of reasonable expectations for the role of machine learning and big data in health care. Therefore, the biomedical and healthcare communities gained a huge growth in fields like big data and machine learning, which lead to medical data benefits like patient care, community services and early disease detection which is explained in detail further.
关键词：Machine Learning;Biomedical Research;Structured;Semi;Structured;Big Data;