Machine Learning in Cardiovascular Medicine

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Studiebog
Machine Learning in Cardiovascular Medicine
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Format:
Bog, paperback
Udgivelsesdato:
01-08-2020
Sprog:
Engelsk
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Nutritional Composition and Antioxidant Properties of Fruits and Vegetables provides an overview of the nutritional and anti-nutritional composition, antioxidant potential, and health benefits of a wide range of commonly consumed fruits and vegetables. The book presents a comprehensive overview on a variety of topics, including inflorescence, flowers and flower buds (broccoli, cauliflower, cabbage), bulb, stem and stalk (onion, celery, asparagus, celery), leaves (watercress, lettuce, spinach), fruit and seed (peppers, squash, tomato, eggplant, green beans), roots and tubers (red beet, carrots, radish), and fruits, such as citrus (orange, lemon, grapefruit), berries (blackberry, strawberry, lingonberry, bayberry, blueberry), melons (pumpkin, watermelon), and more. Each chapter, contributed by an international expert in the field, also discusses the factors influencing antioxidant content, such as genotype, environmental variation and agronomic conditions.Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. While the industrial applications of ML are nearly ubiquitous, its introduction into the medical field has been much more gradual. The landscape, however, is rapidly changing with the availability of computational power and the creation of large repositories of datasets.

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Udgivelsesdato:
01-08-2020
ISBN13:
9780128202739
Bredde:
216 mm
Højde:
276 mm
Format:
Paperback
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