Titlebook: Data Science for Healthcare; Methodologies and Ap Sergio Consoli,Diego Reforgiato Recupero,Milan Pet Book 2019 Springer Nature Switzerland

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Application Programming Interfacesion methods to emerge. Tapping into this data brings clinical research and clinical practice closer together, as data generated in ordinary clinical practice can be used towards rapid-learning healthcare systems, continuously improving and personalizing healthcare. In this context, the recent use of

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HLA Polymorphism and Disease Susceptibilityl to measure and help achieving these improvements in healthcare delivery. Consequently, a data influx from various clinical, financial, and operational sources is now overtaking healthcare organizations and their patients. The effective use of this data, however, is a major challenge. Clearly, text