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By Sujata Dash, a renowned author in the field of biomedical informatics, this book takes a comprehensive approach to exploring the intersection of data mining, biomedical image processing, and information retrieval.
Biomedical and health informatics is an emerging field of research that combines information science, computer science, and healthcare to improve the quality and efficiency of patient care. With the abundance of biomedical data available, there are immense opportunities and challenges to mine this data for valuable insights.
The primary goal of healthcare informatics is to ensure high-quality, efficient healthcare, better treatment, and an improved quality of life. This is achieved by analyzing biomedical and healthcare data, including patient data, electronic health records (EHRs), and lifestyle information.
In the past, developing a model for biomedical or healthcare required a domain expert. However, recent advancements in representation learning algorithms have enabled the automatic development of models, opening up new avenues for research and innovation.
The vast amount of available biomedical images has given rise to a novel research area: biomedical image mining. These images, including computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI), and ultrasound, can be digitized using data mining techniques.
By applying data mining techniques to biomedical images, researchers can uncover answers to critical questions in healthcare. Image mining in medicine can help reveal new relationships between data, leading to valuable insights that can inform treatment decisions and improve patient outcomes.
This book is an invaluable resource for researchers and professionals in various fields, including:
Product Details:
Publisher: Wiley
Publication Date: August 2, 2021
Language: English
ISBN: 9781119711247, 9781119711254
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