Caring Is Sharing Exploiting The Value In Data For Health And Innovation
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Caring is Sharing — Exploiting the Value in Data for Health and Innovation
Modern information and communication technologies make it easier for individuals to be involved in their own health and social care. They also facilitate contact between individuals and service providers and deliver more efficient tools for healthcare staff. Artificial Intelligence (AI) promises to bring even more benefits in the future, with more effectiveness and the provision of decision support. This book presents the proceedings of the 33rd Medical Informatics Europe Conference, MIE2023, held in Gothenburg, Sweden, from 22 to 25 May 2023. The theme of MIE2023 was ‘Caring is Sharing – Exploiting Value in Data for Health and Innovation’, stressing the increasing importance of sharing digital-health data and the related challenges. The sharing of health data is developing rapidly, both in Europe and beyond, so the focus of the conference was on the enabling of trustworthy sharing of data to improve health. Topics covered include healthcare, community care, self-care, public health, and the innovation and development of future-proof digital-health solutions, and the almost 300 papers divided into 10 chapters also cover important advances in the sub domains of biomedical informatics: decision support systems, clinical information systems, clinical research informatics, knowledge management and representation, consumer health informatics, natural language processing, public health informatics, privacy, ethical and societal aspects among them. Describing innovative approaches to the collection, organization, analysis, and data-sharing related to health and wellbeing, the book contributes to the expertise required to take medical informatics to the next level, and will be of interest to all those working in the field.
Computational Intelligence in Machine Learning
Author: Vinit Kumar Gunjan
language: en
Publisher: Springer Nature
Release Date: 2025-08-02
This book features selected proceedings from the International Conference on Computational Intelligence in Machine Learning (ICCIML 2023). It covers the latest research trends and developments in various fields, including machine learning, smart cities, the Internet of Things (IoT), artificial intelligence, cyber-physical systems, cybernetics, data science, neural networks, and cognition, among others. The book also emphasizes the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning by highlighting their roles in modeling, identification, optimization, prediction, forecasting, and controlling future intelligent systems. This volume serves as a valuable resource for researchers in both academia and industry, offering in-depth insights from fundamental research contributions. It focuses on methodological and application perspectives, enhancing the understanding of AI and ML approaches and their capabilities in addressing a diverse range of problems across various industries and real-world applications.
Proceedings of the 4th International Conference on Advances in Computational Science and Engineering
Author: Vinesh Thiruchelvam
language: en
Publisher: Springer Nature
Release Date: 2024-09-02
This book is the proceedings of the 4th International Conference on Advances in Computational Science and Engineering (ICACSE 2023, December 16–17, 2023, Manila, Philippines) and contains the selected peer-reviewed papers which reflect recent achievements in the field of application of the computational methods and algorithms in scientific research and engineering design. The papers presented covered topics such as advances in system integration, high-performance computing, modeling, and simulation, big data analytics, big data visualization, advanced networking and applications, cybersecurity, augmented and virtual reality, artificial intelligence and robotics, soft computing data science, and intelligent knowledge discovery. The book is useful, interesting, and informative for a wide range of scientists, engineers, and students.