{"product_id":"signal-processing-and-machine-learning-ervin-sejdic-9781498773454","title":"Signal Processing and Machine Learning for Biomedical Big Data","description":"\u003cp\u003eWithin the healthcare domain, big data is defined as any   high volume, high diversity biological, clinical, environmental, and lifestyle information collected from single individuals to large cohorts, in relation to their health and wellness status, at one or several time points.'' Such data is crucial because within it lies vast amounts of invaluable information that could potentially change a patient's life, opening doors to alternate therapies, drugs, and diagnostic tools. \u003ci\u003eSignal Processing and Machine Learning for Biomedical Big Data\u003c\/i\u003e thus discusses modalities; the numerous ways in which this data is captured via sensors; and various sample rates and dimensionalities. Capturing, analyzing, storing, and visualizing such massive data has required new shifts in signal processing paradigms and new ways of combining signal processing with machine learning tools. This book covers several of these aspects in two ways: firstly, through theoretical signal processing chapters where tools aimed at big data (be it biomedical or otherwise) are described; and, secondly, through application-driven chapters focusing on existing applications of signal processing and machine learning for big biomedical data. This text aimed at the curious researcher working in the field, as well as undergraduate and graduate students eager to learn how signal processing can help with big data analysis. It is the hope of Drs. Sejdic and Falk that this book will bring together signal processing and machine learning researchers to unlock existing bottlenecks within the healthcare field, thereby improving patient quality-of-life.\u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eProvides an overview of recent state-of-the-art signal processing and machine learning algorithms for biomedical big data, including applications in the neuroimaging, cardiac, retinal, genomic, sleep, patient outcome prediction, critical care, and rehabilitation domains.\u003c\/li\u003e \u003c\/ul\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eProvides contributed chapters from world leaders in the fields of big data and signal processing, covering topics such as data quality, data compression, statistical and graph signal processing techniques, and deep learning and their applications within the biomedical sphere.\u003c\/li\u003e \u003c\/ul\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eThis book's material covers how expert domain knowledge can be used to advance signal processing and machine learning for biomedical big data applications. \u003c\/li\u003e \u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Ervin Sejdic\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1498773451\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781498773454\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e CRC Press\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 07\/05\/2018\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 624\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover","brand":"Ervin Sejdic","offers":[{"title":"Hardcover","offer_id":48447896879359,"sku":"9781498773454","price":305.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_029d5a9a-5081-4e21-8fb7-ceb08f077cfc.jpg?v=1777235547","url":"https:\/\/www.whiterainbookhouse.com\/products\/signal-processing-and-machine-learning-ervin-sejdic-9781498773454","provider":"WR Book House","version":"1.0","type":"link"}