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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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. Modern healthcare models reflect our data-driven economy, and adopt value-driven strategies, evidence-based medicine, new technology, decision;
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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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This book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine;
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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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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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intelligence for making better healthcare decisions. Identifying patterns and correlations contained in complex health data, analytics has applications;
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entrepreneurs find success in this data-driven market? A revolution is transforming the $10 trillion healthcare landscape, promising greater;
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entrepreneurs find success in this data-driven market? A revolution is transforming the $10 trillion healthcare landscape, promising greater;
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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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-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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Health care utilization routinely generates vast amounts of data from sources ranging from electronic medical records, insurance claims;
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Health care utilization routinely generates vast amounts of data from sources ranging from electronic medical records, insurance claims;
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The healthcare industry is in a state of accelerated transition. The proliferation of data and its assimilation, access, use, and security;
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The healthcare industry is in a state of accelerated transition. The proliferation of data and its assimilation, access, use, and security;
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This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the;
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informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and;
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informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and;
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crafted over many years using products from multiple vendors. Healthcare organizations are now focused on big data aggregated from myriad data;
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Successful development of clinical data as an engine for knowledge generation has the potential to transform health and health care;
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An Introduction to Healthcare Informatics: Building Data-Driven Tools bridges the gap between the current healthcare IT landscape and;
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currently used to perform medical diagnostics in the healthcare domain, thanks to the abundance of medical data being generated and collected;
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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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of Medical Things often called IoMT, which is an extension of IoT for real-time, data analytics-driven prompt and quality healthcare to global;
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Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools;
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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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Add a touch of data analytics to your healthcare systems and get insightful outcomes Key Features Perform healthcare analytics with Python;
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