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• W2483390166 abstract "Healthcare systems worldwide are entering a new phase: ever-increasing quantities of complex, massively multivariate data concerning all aspects of patient care are starting to be routinely acquired and stored [1], throughout the life of a patient. This exponential growth in data quantities far outpaces the capability of clinical experts to cope, resulting in a so-called data deluge, in which the data are largely unexploited. There is huge potential for using advances in large-scale machine learning methodologies* to exploit the contents of these complex data sets by performing robust, scalable, automated inference to improve healthcare outcomes significantly by using patient-specific probabilistic models, a field in which there is little existing research [2] and which promises to develop into a new" @default.
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• W2483390166 date "2018-10-08" @default.
• W2483390166 modified "2023-09-23" @default.
• W2483390166 title "Intelligent Electronic Health Systems" @default.
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• W2483390166 doi "https://doi.org/10.1201/9781351229067-4" @default.
• W2483390166 hasPublicationYear "2018" @default.
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