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• W3193998139 abstract "Medical Domain is a massive and vast set of recorded data which stand to be very important in every geographical region of the world's population. This record sets constitutes Electronic & Hand-Written Health Records (EHR), Public domain Individual's Hospital Information (HIS), information from Radiology Systems (RIS), Information from Laboratory (LIS), information from Clinical Data etc. Old Systems conveys a traditional approach to determine patients' health requirements, progress. With introduction of Artificial Intelligence technologies, these decisions are electronically predicted, and most times found these decisions are approximated to its appropriation. In this paper, we surveyed extensively the old medical systems records analysis & decision approaches, modern artificial intelligence's technology evolutions and its improvisation study towards the approximation to appropriations." @default.
• W3193998139 created "2021-08-30" @default.
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• W3193998139 date "2021-01-01" @default.
• W3193998139 modified "2023-10-16" @default.
• W3193998139 title "An Extensive Evolutional Survey of Medical Domain Data Analytics & Decision Improvisation Systems" @default.
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• W3193998139 doi "https://doi.org/10.2139/ssrn.3842573" @default.
• W3193998139 hasPublicationYear "2021" @default.
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