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Real-time predictive analytics in postoperative critical care
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2020
Jahr
Abstract
Predictive analytics in healthcare is not a new endeavor. Since ages physicians are thriving to develop calculated markers that enable them to react promptly and precisely on patient's deterioration before irreversible damage has occurred. The advent of deep learning has opened new possibilities and started excitement in this field. This talk will discuss recent findings, possibilities and challenges of predictive analytics in the data intense environment of critical care.
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