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

Biomedical Data Mining for Information Retrieval: Methodologies, Techniques, and Applications (Artificial Intelligence and Soft Computing for Industrial Transformation) 1st Edition
by: Subhendu Kumar Pani,Sujata Dash,S. Balamurugan,Ajith Abraham (Editor)
Publisher Finelybook 出版社:Wiley-Scrivener; 1st edition (August 24, 2021)
Language 语言:English
pages 页数:448 pages
ISBN-10 书号:111971124X
ISBN-13 书号:9781119711247

Book Description
This book comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by: analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical Image Mining, a novel research area, due to its large amount of biomedical images increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions related to health care. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients.


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