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- W4385196367 abstract "By increasing diagnostic precision, lowering healthcare costs, and enabling tailored treatment regimens, there is potential for machine learning to revolutionize the healthcare sector. Realizing the full potential of artificial intelligence in healthcare requires finally adoption of cutting-edge software engineering methodologies. This review of the literature looks at the present status of software engineering and healthcare practices in the area of machine learning. It also covers cutting-edge software engineering methodologies for machine learning and their successful application through case studies and real-world examples. The poll also outlines potential adoption hurdles and future initiatives. The conclusion underlines the importance of continued research and development in this area in order to fully realize machine learning’s promise to increase the efficiency of healthcare systems and boost patient outcomes." @default.
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- W4385196367 date "2023-01-01" @default.
- W4385196367 modified "2023-10-09" @default.
- W4385196367 title "An Innovative Software Engineering Approach to Machine Learning for Increasing the Effectiveness of Health Systems" @default.
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- W4385196367 doi "https://doi.org/10.1007/978-981-99-3315-0_17" @default.
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