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, vital signs, and patient-reported outcomes. Predicting health outcomes using data modeling approaches is an emerging field that can reveal;
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, vital signs, and patient-reported outcomes. Predicting health outcomes using data modeling approaches is an emerging field that can reveal;
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Healthcare is changing, and data is the catalyst Data is taking over in a powerful way, and it's revolutionizing the healthcare industry;
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of European data protection law are considered to be bottlenecks for the implementation of modern healthcare systems: informed consent, anonymisation;
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Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved;
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highlights fundamental approaches on measurement of and inference on healthcare access. This mathematical modeling facilitates translating data into;
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healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results.;
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value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this;
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value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this;
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and cost moderation are scaled and lessons learned used to create new healthcare models. The best data for broader value driven healthcare;
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intelligence for making better healthcare decisions. Identifying patterns and correlations contained in complex health data, analytics has applications;
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This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies;
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doctor patient conversation data. This opens up huge opportunities for the application of computing techniques, to derive data-driven models that;
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Open Data for Developing Economies features in-depth case studies on how open data is having an impact across the developing world-from an;
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-edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an;
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How can a smartwatch help patients with diabetes manage their disease? Why can't patients find out prices for surgeries and other;
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How can a smartwatch help patients with diabetes manage their disease? Why can't patients find out prices for surgeries and other;
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-aware services as they relate to Healthcare 4.0. The book considers a three-layer patient-driven healthcare architecture for real-time data;
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reviewed and selected from 141 submissions. The theme for the 12th EC-TEL conference on Data Driven Approaches in Digital Education' aims to;
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beneficial in understanding the pandemic. Presents the latest ideas developed for data scientists, doctors, engineers, and economists. Analyses the;
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physicians, this book delivers practical approaches for effectively: Fostering engagement in revenue cycle, information technology;
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with physicians, this book delivers practical approaches for effectively: Fostering engagement in revenue cycle;
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Statistical, Mapping and Digital Approaches in Healthcare addresses all health territories, starting from the analysis of geographical data;
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. In addition, it provides healthcare solutions for post COVID-19 outbreaks through various suitable approaches, Moreover, a detailed detection;
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from HIT&;s ascendance and to mine the vast amount of available data for competitive advantage. Where can they turn for insight? With the;
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mandates is enough to keep most chief officers up at night! Leveraging Data in Healthcare: Best Practices for Controlling, Analyzing, and Using;
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mandates is enough to keep most chief officers up at night! Leveraging Data in Healthcare: Best Practices for Controlling, Analyzing, and Using;
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