Biomedical Data Mining for Information Retrieval: Methodologies, Techniques, and Applications

This book covers traditional computational techniques, data mining, biomedical image processing, and information retrieval with a broad coverage of basic scientific applications. It emphasizes the importance of biomedical and health informatics in ensuring high-quality, efficient healthcare and better treatment and quality of life by analyzing biomedical and healthcare data. It also discusses the emerging field of biomedical image mining, which generates and stores digitally in the form of CT, X-ray, PET, SPECT, MRI, and ultrasound.

Format: Hardback
Length: 448 pages
Publication date: 17 September 2021
Publisher: John Wiley & Sons Inc

This comprehensive book delves into the realm of biomedical data mining, encompassing a wide range of computational techniques and exploring the field of biomedical image processing and information retrieval. It not only emphasizes traditional computational methods but also delves into the exciting world of data mining, biomedical image processing, and information retrieval, with a comprehensive coverage of basic scientific applications.

Biomedical and health informatics, as an emerging field at the intersection of information science, computer science, and healthcare, presents a multitude of opportunities and challenges. The availability and abundance of biomedical data offer immense potential for further analysis, driving innovation and progress in healthcare. The primary goal of healthcare informatics is to enhance the quality, efficiency, and overall well-being of patients by leveraging biomedical and healthcare data, including patient data, electronic health records (EHRs), and lifestyle factors.

Traditionally, developing models for biomedical or healthcare applications required the expertise of domain experts. However, recent advancements in representation learning algorithms have revolutionized the field, enabling the automatic development of models. This has opened up new possibilities for analyzing biomedical and healthcare data, as well as facilitating the identification of valuable insights and patterns.

Biomedical image mining, a novel and rapidly evolving research area, has gained significant attention due to the vast amount of available biomedical images. These images are primarily in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI), and ultrasound. By employing data mining techniques, these images can be digitized and analyzed, providing valuable insights into healthcare. Image mining in medicine has the potential to uncover new relationships between data and reveal valuable information that can assist doctors in treating their patients effectively.

In conclusion, this book serves as a valuable resource for researchers, practitioners, and students interested in biomedical data mining, biomedical image processing, and information retrieval. It provides a comprehensive overview of the field, covering traditional computational techniques, data mining, biomedical image processing, and information retrieval, with a focus on basic scientific applications. By leveraging the power of biomedical and health informatics, we can unlock the full potential of biomedical data and drive innovation in healthcare.

Weight: 748g
Dimension: 238 x 160 x 29 (mm)
ISBN-13: 9781119711247