Inhoudsopgave:
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\u003cp\u003e\u003ci\u003eDeep Learning in Personalized Healthcare and Decision Support\u003c/i\u003e discusses the potential of deep learning technologies in the healthcare sector. The book covers the application of deep learning tools and techniques in diverse areas of healthcare, such as medical image classification, telemedicine, clinical decision support system, clinical trials, electronic health records, precision medication, Parkinson disease detection, genomics, and drug discovery. In addition, it discusses the use of DL for fraud detection and internet of things. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about deep learning applied to the healthcare sector. \u003c/p\u003e \u003cp\u003eAlthough there is an increasing interest by clinicians and healthcare workers, they still lack enough knowledge to efficiently choose and make use of technologies currently available. This book fills that knowledge gap by bringing together experts from technology and clinical fields to cover the topics in depth. \u003c/p\u003e\u003cul\u003e \u003cli\u003eDiscusses the application of deep learning in several areas of healthcare, including clinical trials, telemedicine and health records management\u003c/li\u003e \u003cli\u003eBrings together experts in the intersection of deep learning, medicine, healthcare and programming to cover topics in an interdisciplinary way\u003c/li\u003e \u003cli\u003eUncovers the stakes and possibilities involved in realizing personalized healthcare services through efficient and effective deep learning technologies\u003c/li\u003e\u003c/ul\u003e |
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