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Titlebook: Advances in Smart Healthcare Paradigms and Applications; Outstanding Women in Halina Kwa?nicka,Nikhil Jain,Lakhmi C. Jain Book 2023 The Edi

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發(fā)表于 2025-3-21 16:22:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Smart Healthcare Paradigms and Applications
期刊簡(jiǎn)稱Outstanding Women in
影響因子2023Halina Kwa?nicka,Nikhil Jain,Lakhmi C. Jain
視頻videohttp://file.papertrans.cn/150/149714/149714.mp4
發(fā)行地址Recognizes the contributions made by women researchers in Smart AI-Enhanced Healthcare Systems worldwide.Inspires other women to get inspired.Includes invited contributions from the world-class women
學(xué)科分類Intelligent Systems Reference Library
圖書封面Titlebook: Advances in Smart Healthcare Paradigms and Applications; Outstanding Women in Halina Kwa?nicka,Nikhil Jain,Lakhmi C. Jain Book 2023 The Edi
影響因子.This book is dedicated to showcase research and innovation in smart healthcare systems and technologies led by women scientists, researchers, and practitioners.? With the advent of artificial intelligence (AI) and related technologies, the healthcare sector has undergone tremendous changes in practice and management in recent years.? On par to men, women have made significant contributions to tackle a variety of healthcare problems, creating smarter paradigms to provide effective and efficient solutions for patients and stakeholders.. .The book presents a small collection of contributions by outstanding women in STEM (Science, Technology, Engineering and Mathematics) education, focusing on the healthcare domain.? The selected articles allow readers to comprehend current advances in AI and other methods for undertaking healthcare challenges.? It is envisaged that the inspiring work by prominent women scientists, researchers, and practitioners reported inthis book offers a beacon to propel women in pursuing STEM education and advancing the healthcare sector for the benefits of humankind..
Pindex Book 2023
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Making Process Trace Classification More Explainable: Approaches and Experiences in the Medical Fiecal process trace classification can be used to verify whether single traces meet some expected criteria, or to make predictions about the future of a running trace, thus supporting resource planning and quality assessment. State-of-the-art process trace classification resorts to deep learning, whic
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Improving Diagnostics of Pneumonia by Combining Individual Hypotheses on Chest X-Ray Images,equires for diagnosing pneumonia is a radiography of the lungs. In this work, we study the problem of automatic classification of pneumonia using chest X-ray images. There are many deep-learning techniques that can achieve this goal. We can interpret these classification results as annotations made
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Artificial Intelligence in Obstetrics,discussing matters such as the poignant role that artificial intelligence plays in fetal morphology scans, how artificial intelligence help healthcare providers determine the type of birth should be used (vaginal vs. cesarean), and last but not least how can we monitor the training programs success
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Recent Applications of BCIs in Healthcare,commands for controlling a device without relying on the signals from the peripheral nerves or muscles. BCIs have shown high potential in healthcare applications. For instance, they have been implemented in mobility or assistive tools, vision restoration devices and cognitive or motor rehabilitation
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