health informatics data analysis (48 Ergebnisse)

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Taschenbuch. Zustand: Neu. Neuware -This book provides a comprehensive overview of different biomedical data types, including both clinical and genomic data. Thorough explanations enable readers to explore key topics ranging from electrocardiograms to Big Data health mining and EEG analysis techniques. Each chapter offers a summary of the field and a sample analysis. Also covered are telehealth infrastructure, healthcare information association rules, methods for mass spectrometry imaging, environmental biodiversity, and the global nonlinear fitness function for protein structures. Diseases are addressed in chapters on functional annotation of lncRNAs in human disease, metabolomics characterization of human diseases, disease risk factors using SNP data and Bayesian methods, and imaging informatics for diagnostic imaging marker selection.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 220 pp. Englisch.

Buch. Zustand: Neu. Neuware -This book provides a comprehensive overview of different biomedical data types, including both clinical and genomic data. Thorough explanations enable readers to explore key topics ranging from electrocardiograms to Big Data health mining and EEG analysis techniques. Each chapter offers a summary of the field and a sample analysis. Also covered are telehealth infrastructure, healthcare information association rules, methods for mass spectrometry imaging, environmental biodiversity, and the global nonlinear fitness function for protein structures. Diseases are addressed in chapters on functional annotation of lncRNAs in human disease, metabolomics characterization of human diseases, disease risk factors using SNP data and Bayesian methods, and imaging informatics for diagnostic imaging marker selection.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 220 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive overview of different biomedical data types, including both clinical and genomic data. Thorough explanations enable readers to explore key topics ranging from electrocardiograms to Big Data health mining and EEG analysis techniques. Each chapter offers a summary of the field and a sample analysis. Also covered are telehealth infrastructure, healthcare information association rules, methods for mass spectrometry imaging, environmental biodiversity, and the global nonlinear fitness function for protein structures. Diseases are addressed in chapters on functional annotation of lncRNAs in human disease, metabolomics characterization of human diseases, disease risk factors using SNP data and Bayesian methods, and imaging informatics for diagnostic imaging marker selection.With the exploding accumulation of Electronic Health Records (EHRs), there is an urgent need for computer-aided analysis of heterogeneous biomedical datasets. Biomedical data is notorious for its diversified scales,dimensions, and volumes, and requires interdisciplinary technologies for visual illustration and digital characterization. Various computer programs and servers have been developed for these purposes by both theoreticians and engineers.This book is an essential reference for investigating the tools available for analyzing heterogeneous biomedical data. It is designed for professionals, researchers, and practitioners in biomedical engineering, diagnostics, medical electronics, and related industries.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive overview of different biomedical data types, including both clinical and genomic data. Thorough explanations enable readers to explore key topics ranging from electrocardiograms to Big Data health mining and EEG analysis techniques. Each chapter offers a summary of the field and a sample analysis. Also covered are telehealth infrastructure, healthcare information association rules, methods for mass spectrometry imaging, environmental biodiversity, and the global nonlinear fitness function for protein structures. Diseases are addressed in chapters on functional annotation of lncRNAs in human disease, metabolomics characterization of human diseases, disease risk factors using SNP data and Bayesian methods, and imaging informatics for diagnostic imaging marker selection.With the exploding accumulation of Electronic Health Records (EHRs), there is an urgent need for computer-aided analysis of heterogeneous biomedical datasets. Biomedical data is notorious for its diversified scales,dimensions, and volumes, and requires interdisciplinary technologies for visual illustration and digital characterization. Various computer programs and servers have been developed for these purposes by both theoreticians and engineers.This book is an essential reference for investigating the tools available for analyzing heterogeneous biomedical data. It is designed for professionals, researchers, and practitioners in biomedical engineering, diagnostics, medical electronics, and related industries.

Paperback. Zustand: Brand New. reprint edition. 220 pages. 9.25x6.10x0.50 inches. In Stock.

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Hardcover. Zustand: Brand New. 220 pages. 9.25x6.10x0.67 inches. In Stock.

Paperback. Zustand: Brand New. reprint edition. 220 pages. 9.25x6.10x0.50 inches. In Stock.

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Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Empowering Patients with AI and Data - A Guide to Health Informatics and Data Analysis offers a comprehensive exploration of the many ways in which AI and data analysis can be used to empower patients and improve health outcomes. By examining the ways in which health informatics and data analysis can be used to support patient-centered care, this book provides a nuanced understanding of the many benefits and challenges of using AI and data in healthcare. With a focus on the development of patient-centered health informatics systems, Empowering Patients with AI and Data offers practical guidance on how to design and implement effective health informatics solutions. From the importance of data quality and patient engagement to the role of AI in health promotion and disease prevention, this book provides a detailed and engaging exploration of the many ways in which AI and data can be used to empower patients and improve health outcomes. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. The rapid advancement of digital technologies has transformed the healthcare industry, enabling the creation of sophisticated electronic health records and data analysis systems. Medical Informatics and Electronic Health Records and Data Analysis and Management explores the cutting-edge applications of medical informatics, from the design and implementation of electronic health records to the analysis and management of large-scale healthcare data. By examining the complex relationships between healthcare data, patient outcomes, and clinical decision-making, this book reveals the potential of medical informatics to improve healthcare quality, efficiency, and accessibility. With a focus on the practical applications of medical informatics, this comprehensive guide offers a valuable resource for healthcare professionals, researchers, and students seeking to harness the power of data-driven healthcare. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Health Informatics Data Analysis is a cutting-edge resource that provides a detailed examination of the principles and practices of analyzing health informatics data. By exploring the latest advancements in data analytics, machine learning, and visualization, this book equips readers with the knowledge and skills necessary to navigate the complexities of health informatics data analysis. From the initial phases of data collection to the final stages of reporting and decision-making, Health Informatics Data Analysis offers a comprehensive guide to the data analysis process. By understanding the intricacies of health informatics data analysis, researchers and clinicians can improve the efficiency and effectiveness of healthcare decision-making, ultimately leading to better patient outcomes and more informed decision-making. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Health Informatics for Oncology - Data Mining and Analysis provides a comprehensive exploration of the intersection of healthcare, technology, and data analysis in the context of cancer treatment. By examining the complex relationships between patient data, medical records, and treatment outcomes, this book offers a nuanced understanding of the role of data mining and analysis in improving cancer care. Through a detailed examination of the latest research and methodologies, Health Informatics for Oncology - Data Mining and Analysis sheds light on the potential of data-driven approaches to enhance patient outcomes and streamline clinical decision-making. As the healthcare landscape continues to evolve, this book serves as a vital resource for healthcare professionals seeking to harness the power of data to drive better patient care. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. In the era of big data and precision medicine, Empowering Patients with Data - A Guide to Health Informatics and Data Analysis offers a comprehensive exploration of the intersection of health informatics, data analysis, and patient empowerment. This book takes a data-driven approach to understanding the potential of health data to improve patient outcomes, enhance care coordination, and drive population health. By examining real-world case studies and best practices, Empowering Patients with Data - A Guide to Health Informatics and Data Analysis reveals the transformative potential of data to empower patients, clinicians, and healthcare organizations. With its focus on practical applications and implementation strategies, this book is an essential resource for healthcare leaders, informaticists, and clinicians seeking to harness the power of data to drive better health outcomes. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. The increasing availability of large datasets in healthcare has created new opportunities for health informatics and artificial intelligence to enhance patient data analysis. This book provides a thorough examination of the latest technologies and techniques in this field, from the use of machine learning and natural language processing to the development of sophisticated predictive models and decision support systems. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.