Applied Research In Primary Care Improving Citizens Health And Well Being In The Real World

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Data Mining

This book on data mining explores a broad set of ideas and presents some of the state-of-the-art research in this field. The book is triggered by pervasive applications that retrieve knowledge from real-world big data. Data mining finds applications in the entire spectrum of science and technology including basic sciences to life sciences and medicine, to social, economic, and cognitive sciences, to engineering and computers. The chapters discuss various applications and research frontiers in data mining with algorithms and implementation details for use in real-world. This can be through characterization, classification, discrimination, anomaly detection, association, clustering, trend or evolution prediction, etc. The intended audience of this book will mainly consist of researchers, research students, practitioners, data analysts, and business professionals who seek information on the various data mining techniques and their applications.
Ecosystems-Centered Health and Care Innovation

Author: Adamantios Koumpis
language: en
Publisher: Frontiers Media SA
Release Date: 2025-03-06
The recent COVID-19 pandemic, along with the ongoing health issues related to persistent respiratory illnesses, has laid bare significant challenges, structural deficiencies, and critical vulnerabilities within the European Health and Care industries. These problems have resulted in notable tensions within healthcare establishments. Addressing these challenges requires enhanced coordination and stronger cooperation among various public and private stakeholders within the health and care ecosystems, not only within each country but also at the pan-European and global levels. This Research Topic seeks to highlight recent developments and scientific breakthroughs in the field of health ecosystems. These developments notably include organizational frameworks, methodologies, tools, resources, and, crucially, real-world use cases of innovation within the health and care sectors. Relevant contributions may relate to the design and support of synergies, complementarities, and cooperation among innovation ecosystem stakeholders. They may also involve the creation of common knowledge and other immaterial assets within existing or emerging research data infrastructures, promotion of innovation capabilities, or measures to reduce the innovation divide across the European Union and beyond.