Recently, big data and machine learning have become increasingly important in various environments, including health care, industry, government, scientific research, business organizations, social networking, and natural resource management. In particular, they apply to the field of health care and make it possible to process and analyze many data that humans or traditional computer tools cannot do simultaneously. Big data and machine learning are having a significant influence on the health care business, and their analyses may help the whole industry. The opportunities they will create will serve as a springboard for the future of the health care business. This will lead to a paradigm shift, shifting the industry's focus from disease-based diagnosis to patient-based diagnosis. This article will discuss big data technology, including its definition, characteristics, technology, relationship, and influence on the healthcare industry. The concept of machine learning technology, as well as its influence on healthcare, will be also explored.
CITATION STYLE
Hiri, M., Chrayah, M., Ourdani, N., & alamir, T. el. (2023). Big Data and Machine Learning in Healthcare: Concepts, Technologies, and Opportunities. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 147, pp. 123–135). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-15191-0_12
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