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Machine learning and deep learning in medical data analytics and healthcare applications
Introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments.
Biomedical data mining for information retrieval : Methodologies, techniques, and applications
Discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. 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 healthcare 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 the vast amount of available biomedical images, increasingly generates and stores digitally.
3rd Kuala Lumpur International Conference on Biomedical Engineering 2006 ; Biomed 2006, 11-14 December 2006, Kuala Lumpur, Malaysia
The Kuala Lumpur International Conference on Biomedical Engineering (Biomed 2006) was held from 11 to 14 December 2006 at the Palace of the Golden Horses, Kuala Lumpur, Malaysia. This international conference was jointly organised by the Department of Biomedical Engineering, University of Malaya, Malaysia; Department of Biomedical Engineering, Inje University, Korea; and Malaysian Society of Medical and Biological Engineering. The papers presented at Biomed 2006 cover the following areas: artificial intelligence, biological effects of non-ionising electromagnetic fields, biomaterials, biomechanics, biomedical sensors, biomedical signal analysis, biotechnology, clinical engineering, human performance engineering, imaging, medical informatics, medical instruments and devices, physiological modelling, simulation, and control, prostheses and artificial organs, regulations and organisations, rehabilitation engineering, telemedicine, tissue engineering, and virtual reality in medicine.
