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By Sujata Dash, this book takes a comprehensive approach to biomedical data mining, emphasizing traditional computational techniques, data mining, biomedical image processing, and information retrieval, with a focus on basic scientific applications.
The field of biomedical and health informatics is rapidly emerging at the intersection of information science, computer science, and healthcare, presenting tremendous opportunities and challenges. The primary goal of healthcare informatics is to ensure high-quality, efficient healthcare, better treatment, and quality of life by analyzing biomedical and healthcare data, including patient data, electronic health records (EHRs), and lifestyle.
Recent advancements in representation learning algorithms have enabled the development of models without the need for domain experts. Biomedical image mining, a novel research area, is generating and storing vast amounts of digitally available images, including computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI), and ultrasound.
By applying data mining techniques to digitize patient biomedical images, researchers can help answer critical questions related to healthcare. Image mining in medicine has the potential to uncover new relationships between data and reveal useful information that can aid doctors in treating their patients.
This book is an essential resource for researchers in various fields, including:
Product Details:
Publisher: Wiley
Publication Date: August 2, 2021
Language: English
ISBN: 9781119711247, 9781119711254
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