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Deep Learning In Personalized Healthcare And Decision Support


Deep Learning In Personalized Healthcare And Decision Support
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Deep Learning In Personalized Healthcare And Decision Support


Deep Learning In Personalized Healthcare And Decision Support
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Author : Harish Garg
language : en
Publisher: Elsevier
Release Date : 2023-07-20

Deep Learning In Personalized Healthcare And Decision Support written by Harish Garg and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-20 with Science categories.


Deep Learning in Personalized Healthcare and Decision Support 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. Although 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. - Discusses the application of deep learning in several areas of healthcare, including clinical trials, telemedicine and health records management - Brings together experts in the intersection of deep learning, medicine, healthcare and programming to cover topics in an interdisciplinary way - Uncovers the stakes and possibilities involved in realizing personalized healthcare services through efficient and effective deep learning technologies



Deep Learning For Personalized Healthcare Services


Deep Learning For Personalized Healthcare Services
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Author : Vishal Jain
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-10-25

Deep Learning For Personalized Healthcare Services written by Vishal Jain and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-25 with Computers categories.


This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding, application and amalgamation of deep learning with several other computing technologies, such as machine learning, data mining, and natural language processing.



Deep Learning For Personalized Healthcare Services


Deep Learning For Personalized Healthcare Services
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Author : Vishal Jain
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-10-25

Deep Learning For Personalized Healthcare Services written by Vishal Jain and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-25 with Computers categories.


This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding, application and amalgamation of deep learning with several other computing technologies, such as machine learning, data mining, and natural language processing.



Deep Learning For Healthcare Decision Making


Deep Learning For Healthcare Decision Making
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Author : Vishal Jain
language : en
Publisher: CRC Press
Release Date : 2023-02-10

Deep Learning For Healthcare Decision Making written by Vishal Jain and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-10 with Medical categories.


Health care today is known to suffer from siloed and fragmented data, delayed clinical communications, and disparate workflow tools due to the lack of interoperability caused by vendor-locked health care systems, lack of trust among data holders, and security/privacy concerns regarding data sharing. The health information industry is ready for big leaps and bounds in terms of growth and advancement. This book is an attempt to unveil the hidden potential of the enormous amount of health information and technology. Throughout this book, we attempt to combine numerous compelling views, guidelines, and frameworks to enable personalized health care service options through the successful application of deep learning frameworks. The progress of the health-care sector will be incremental as it learns from associations between data over time through the application of suitable AI, deep net frameworks, and patterns. The major challenge health care is facing is the effective and accurate learning of unstructured clinical data through the application of precise algorithms. Incorrect input data leading to erroneous outputs with false positives is intolerable in healthcare as patients’ lives are at stake. This book is written with the intent to uncover the stakes and possibilities involved in realizing personalized health-care services through efficient and effective deep learning algorithms. The specific focus of this book will be on the application of deep learning in any area of health care, including clinical trials, telemedicine, health records management, etc.



Ai Personalized Medicine Therapy


Ai Personalized Medicine Therapy
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Author : Joohee Pradhan
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2025-02-05

Ai Personalized Medicine Therapy written by Joohee Pradhan and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Computers categories.


Discover how artificial intelligence is revolutionizing healthcare with this book, edited by Dr Joohee Pradhan and Dr Ajay Kumar Shukla. This insightful book highlights the groundbreaking applications of AI in medical treatment, from precision diagnostics and drug discovery to robotic surgeries and telemedicine. It explores the transformative potential of technologies like machine learning and natural language processing to deliver personalized, efficient, and cost-effective care. Addressing both the promise and the challenges, the book examines critical topics such as AI-driven decision support, remote patient monitoring, and the ethical considerations of data privacy and algorithmic bias. Bridging the gap between innovation and real-world applications, this book is an essential resource for healthcare professionals, researchers, and technology enthusiasts looking to understand and harness AI’s potential in medicine. Transform the way you think about healthcare with this comprehensive and forward-looking exploration of AI’s role in shaping the future.



Multidisciplinary Research In Arts Science Commerce Volume 24


Multidisciplinary Research In Arts Science Commerce Volume 24
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Author : Chief Editor- Biplab Auddya, Editor- Shagufta Shan, Dr.A.Sudarvizhi, Shweta Tiwari, Poorna Shree.T, Dr. Jay Prakash Rajak, Dr. Vinati Baurasi
language : en
Publisher: The Hill Publication
Release Date : 2025-04-11

Multidisciplinary Research In Arts Science Commerce Volume 24 written by Chief Editor- Biplab Auddya, Editor- Shagufta Shan, Dr.A.Sudarvizhi, Shweta Tiwari, Poorna Shree.T, Dr. Jay Prakash Rajak, Dr. Vinati Baurasi and has been published by The Hill Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-11 with Antiques & Collectibles categories.




Deep Learning And Computer Vision Models And Biomedical Applications


Deep Learning And Computer Vision Models And Biomedical Applications
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Author : Uma N. Dulhare
language : en
Publisher: Springer Nature
Release Date : 2025-03-08

Deep Learning And Computer Vision Models And Biomedical Applications written by Uma N. Dulhare and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-08 with Computers categories.


This book takes a balanced approach between theoretical understanding and real time applications. All topics show how to explore, build, evaluate and optimize deep learning models with computer vision. Deep learning is integrated with computer vision to enhance the performance of image classification with localization, object detection, object recognition, object segmentation, image style transfer, image colorization, image reconstruction, image super-resolution, image synthesis, motion detection, pose estimation, semantic segmentation in biomedical field. Huge number of efficient approaches/applications and models support medical decisions in the fields of cardiology, dermatology, and radiology. The content of book elaborates deep learning models such as convolution neural networks, deep learning, generative adversarial network, long short-term memory networks (LSTM), autoencoder (AE), restricted Boltzmann machine (RBM), self-organizing map (SOM), deep belief network (DBN), etc.



Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals


Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals
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Author : Ruiz-Vanoye, Jorge A.
language : en
Publisher: IGI Global
Release Date : 2025-03-07

Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals written by Ruiz-Vanoye, Jorge A. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Computers categories.


Achieving the United Nations' Sustainable Development Goals (SDGs) requires innovative solutions that address global challenges such as climate change, poverty, and social inequality. Artificial intelligence (AI), machine learning, and data-driven technologies offer transformative potential by optimizing resource management, improving healthcare outcomes, and enhancing decision-making processes. However, integrating AI into sustainable development efforts presents ethical, technical, and policy-related challenges that must be carefully navigated. A multidisciplinary approach is essential to ensure these technologies are applied inclusively and responsibly, maximizing their positive societal impact. Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals enhances understanding and application of machine learning, deep learning, data mining and AI technologies in the context of the SDGs. It fills the gap by linking theory and practice and addresses both the opportunities and challenges inherent in this intersection. Covering topics such as demand side management, agricultural productivity, and smart manufacturing, this book is an excellent resource for engineers, computer scientists, practitioners, policymakers, professionals, researchers, scholars, academicians, and more.



Data Driven Decision Support System In Intelligent Healthcare


Data Driven Decision Support System In Intelligent Healthcare
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Author : Debnath Bhattacharyya
language : en
Publisher: CRC Press
Release Date : 2025-08-12

Data Driven Decision Support System In Intelligent Healthcare written by Debnath Bhattacharyya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-12 with Computers categories.


Machine Intelligence with Generative AI is one of the most trending topics with applications in almost all fields of life. In healthcare, it is not only accelerating the development of new products, but also automating the generation of new and synthetic content making it easier to train and improve machine learning models. Some of the biggest achievements of Generative AI in healthcare have been drug discovery, personalized care, differentially private synthetic data generation, operational efficiency, and many more. Generative AI models like Generative Adversarial Networks, and Variational Autoencoders are employed to generate synthetic medical images, aiding in data augmentation, facilitating disease diagnosis, and enabling advanced medical imaging research. Additionally, Generative AI techniques are being utilized for creating realistic electronic health records (EHRs) and simulated patient data, supporting privacy-preserving data sharing, and empowering innovative studies for personalized medicine and drug development. NLP models like ClinicalBERT use transformer-based deep learning architecture to understand and represent contextual information in large clinical text datasets, such as electronic health records (EHRs) and medical literature, and can better grasp medical terminologies, domain-specific language, and contextual nuances that are unique to the healthcare field. This volume delves into the realm of Machine Intelligence with Generative AI and explores its impact on the healthcare industry.



Artificial Intelligence Of Everything And Sustainable Development


Artificial Intelligence Of Everything And Sustainable Development
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Author : Hamed Nozari
language : en
Publisher: Springer Nature
Release Date : 2025-07-14

Artificial Intelligence Of Everything And Sustainable Development written by Hamed Nozari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-14 with Computers categories.


This book explores the intersection between transformative technologies and sustainable development. In today's world, characterized by diminishing energy sources, declining youth populations, and rapid technological advancements, the need for sustainable practices has never been more pressing. Technologies such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, and hybrid technologies have not only revolutionized daily life but also presented new challenges and opportunities. The book presents the concept of "artificial intelligence of everything," highlighting the role of these technologies in driving sustainable, green, and futuristic development. It offers conceptual and quantitative frameworks to enhance understanding and presents insight into their application. Emphasizing the importance of looking beyond the present moment, the book advocates for a future-focused approach to technology, one that prioritizes sustainability in all endeavors. As the world navigates the complexities of the modern era, this book serves as a practical and essential guide. It is designed to help readers navigate the challenges of today's world and embrace sustainable practices that will shape a better future for all.