Diabetes and Cardiovascular Disease

Computer-Assisted Diagnosis: Diabetes and Cardiovascular Disease is a comprehensive reference that provides research and clinical applications from an academic, clinical, bioengineering, and bioinformatics perspective, helping researchers and practitioners save time on source-searching and focus on actual research and clinical applications.

Format: Paperback / softback
Length: 372 pages
Publication date: 19 March 2021
Publisher: Elsevier Science Publishing Co Inc

Computer-Assisted Diagnosis: Diabetes and Cardiovascular Disease is a comprehensive resource that brings together multifaceted information on research and clinical applications from an academic, clinical, bioengineering, and bioinformatics perspective. The editors have assembled a stellar and diverse list of authors to delve into this intriguing field. This reference serves as an authoritative guide for academic researchers, bioengineers, new investigators, and students interested in diabetes and heart disease. By providing contributions from authors worldwide, it aims to significantly reduce the time spent on source-searching, allowing individuals to focus more on actual research and clinical applications.

The book encompasses a wide range of topics, including the use of computer-based algorithms and machine learning techniques for the early detection and diagnosis of diabetes and cardiovascular disease. It discusses the development of novel imaging modalities, such as magnetic resonance imaging (MRI) and computed tomography (CT), for the non-invasive assessment of cardiovascular structures and functions. Additionally, it explores the integration of genetic information and molecular biomarkers into diagnostic algorithms to improve accuracy and precision.

Furthermore, the book discusses the role of computer-assisted decision-making in the management of diabetes and cardiovascular disease. It explores the use of electronic health records (EHRs) and clinical decision support systems to facilitate patient care, improve outcomes, and reduce healthcare costs. It also examines the challenges and limitations of implementing computer-assisted diagnosis in real-world clinical settings and highlights the need for interdisciplinary collaboration and training.

Overall, Computer-Assisted Diagnosis: Diabetes and Cardiovascular Disease is an essential resource for researchers, clinicians, bioengineers, and students interested in advancing the field of diabetes and cardiovascular disease. It provides a comprehensive and up-to-date overview of the latest research, clinical applications, and technological advancements, enabling individuals to stay informed and make informed decisions in their respective fields.

Weight: 780g
Dimension: 191 x 235 x 28 (mm)
ISBN-13: 9780128174289