Effect of Machine Learning in Healthcare Industry with reference to Artificial Intelligence (original) (raw)
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Big Data Analytics in Healthcare -A Comprehensive Literature Review
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Big data is the large amount of data that has been popular for the past few decades because of its many uses. Big data is already being used in fields such as business management and machine learning. In recent years it is storming its way in the healthcare industry as well. Electronic health records, efficient staffing, supply chain management is some of the big data applications in the healthcare industry. These applications are discussed in detail later in the paper. Over the years, the need for big data has been increasing because of various factors such as improving patient outcomes, efficiently managing healthcare-related data such as medical records, past diagnostic reports and prescriptions and, documents of various medical tests. Big data can help improve the patient's overall care while keeping the treatment cost low as there would be no need to run redundant tests. But many factors are restricting the use of big data in the field of healthcare. These could be the incompatibility of software or the unwillingness of organizations to share data. But over the years, because of big data, the healthcare industry has been improving towards developing new analytical and computational software that could revolutionize the healthcare industry.
An Article on Big Data Analytics in Healthcare Applications and Challenges
International Journal of Big Data and Analytics in Healthcare, 2020
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A Survey of Big Data Analytics in Healthcare
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New Horizons for a Data-Driven Economy, 2016
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The big data analytics plays a pivotal role in the field of healthcare services and research to facilitate better service to the patients. It has provided tools to accumulate, manage, analysis the structured and unstructured data produced by the healthcare systems. Recently the utilization of big data analytics has been increased in the healthcare industry for assisting the process of diagnosing diseases and care delivery. However, the adoption and research development of big data analysis in the healthcare industry is still slow down due to facing some fundamental problems inherent within the big data paradigm. In this study, addresses these problems which focus on the upcoming and promising areas of medical research and proposed a novel big data analytics approach using Apache Spark. The proposed approach will improve care delivery in the healthcare industry. Big data analytics can continually evaluate clinical data in order to improve the effective practices of physicians and imp...
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