Advancing Healthcare Through Data Driven Innovations
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Advancing Healthcare Through Data Driven Innovations
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Author : Gunjan Rehani
language : en
Publisher: CRC Press
Release Date : 2024-12-19
Advancing Healthcare Through Data Driven Innovations written by Gunjan Rehani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-19 with Law categories.
The book emphasizes the role of data in driving healthcare transformation, providing readers with a roadmap for understanding and effectively implementing data-driven innovations. It delves into the applications of big data analytics, unveiling valuable insights and offering real-time decision support to healthcare professionals and goes on to review the role of machine learning and artificial intelligence in enabling accurate diagnosis, personalized treatment recommendations, and predictive modeling. The book is an invaluable resource for healthcare professionals, researchers, policymakers, and technology enthusiasts alike. Its practical insights and perspectives empower stakeholders to leverage data-driven technologies effectively, thus fostering continuous improvements in patient care and shaping a brighter future for the healthcare industry as a whole.
Advancing Healthcare Through Data Driven Innovations
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Author : Gunjan Rehani
language : en
Publisher: CRC Press
Release Date : 2024
Advancing Healthcare Through Data Driven Innovations written by Gunjan Rehani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Medical categories.
"Advancing Healthcare through Data-Driven Innovations is a comprehensive and transformative guide that explores the immense potential of data-driven technologies to revolutionize the healthcare industry. This book covers a wide array of crucial topics, including data analytics, big data, machine learning, deep learning, health informatics, and blockchain, all of which play pivotal roles in improving healthcare delivery, decision-making processes, and ultimately, patient outcomes. Throughout the book, the authors emphasize the indispensable role of data in driving healthcare transformation, providing readers with a roadmap for understanding and effectively implementing data-driven innovations. Notably, the book delves into the applications of big data analytics, unveiling valuable insights and offering real-time decision support to healthcare professionals. It goes even further to explore the power of machine learning and artificial intelligence, enabling accurate diagnosis, personalized treatment recommendations, and predictive modeling. An important aspect of the book lies in its exploration of health informatics and its emphasis on the significance of achieving interoperability to enhance healthcare delivery and streamline patient information management. Additionally, it delves into the potential of blockchain technology to ensure data integrity and safeguard patient privacy, a crucial consideration in today's interconnected world"--
Healthcare And Artificial Intelligence
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Author : Bernard Nordlinger
language : en
Publisher: Springer Nature
Release Date : 2020-03-17
Healthcare And Artificial Intelligence written by Bernard Nordlinger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-17 with Technology & Engineering categories.
This book provides an overview of the role of AI in medicine and, more generally, of issues at the intersection of mathematics, informatics, and medicine. It is intended for AI experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious about this timely and important subject. Its goal is to provide clear, objective, and reasonable information on the issues covered, avoiding any fantasies that the topic “AI” might evoke. In addition, the book seeks to provide a broad kaleidoscopic perspective, rather than deep technical details.
Data Driven Decision Making Advanced Techniques In Healthcare And Business Analytics
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Author : Krishna prasath Sivaraj Dr Arpit Jain
language : en
Publisher: DeepMisti Publication
Release Date : 2025-02-02
Data Driven Decision Making Advanced Techniques In Healthcare And Business Analytics written by Krishna prasath Sivaraj Dr Arpit Jain and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-02 with Computers categories.
In today’s data-driven world, decisions are no longer based on intuition alone. Organizations in healthcare and business are increasingly leveraging advanced analytics to extract meaningful insights, optimize operations, and create value. The ability to make data-driven decisions has become a defining factor in achieving success, fostering innovation, and navigating complex challenges. Data-Driven Decision Making: Advanced Techniques in Healthcare and Business Analytics is a comprehensive guide to mastering the tools, methods, and strategies that empower professionals to transform raw data into actionable knowledge. This book explores the critical intersection of analytics and decision-making, offering readers the expertise needed to thrive in data-intensive environments. Key themes covered include: • The foundations of data-driven decision-making and its role in strategic planning. • Advanced analytics techniques, such as predictive modeling, machine learning, and real- time data processing. • Practical applications in healthcare, including patient outcome prediction, resource allocation, and personalized medicine. • Use cases in business, such as customer segmentation, financial forecasting, and operational optimization. • Ethical considerations, data governance, and strategies for ensuring compliance with evolving regulations. This book is designed for healthcare professionals, business leaders, data scientists, and analysts who seek to harness the power of data for impactful decision-making. Whether you are solving problems in healthcare delivery or driving business growth, the methodologies presented here will equip you to make informed, evidence-based decisions. The journey to mastering data-driven decision-making is both a technical and strategic endeavor. Through this book, we aim to inspire you to unlock the full potential of analytics, delivering better outcomes for your organization and the people it serves. Let this guide be your companion as you explore the transformative power of advanced analytics in healthcare and business. Authors
Adversarial Deep Generative Techniques For Early Diagnosis Of Neurological Conditions And Mental Health Practises
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Author : Abhishek Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-08-16
Adversarial Deep Generative Techniques For Early Diagnosis Of Neurological Conditions And Mental Health Practises written by Abhishek Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-16 with Computers categories.
This book explores a pioneering exploration of how deep generative models, including generative adversarial networks (GANs) and variational autoencoders (VAEs), renovating early neurological disorder detection. This book is a bridge between computational neuroscience and clinical neurology gaps, providing novel AI-driven methodologies for diagnosing conditions such as Alzheimer’s, Parkinson’s, epilepsy, and neurodevelopmental disorders. With a strong focus on neuroimaging, genomic data analysis, and biomedical informatics, the book equips researchers and practitioners with the tools to improve diagnostic accuracy and decision-making. It includes practical case studies, visual illustrations, and structured methodologies for training and validating deep learning models. Designed for neurologists, radiologists, data scientists, and AI researchers, this book is an essential resource for advancing precision medicine and next-generation healthcare innovation.
6g Impacts On Natural Habitats And Human Life
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Author : Haque, Shameemul
language : en
Publisher: IGI Global
Release Date : 2025-05-01
6g Impacts On Natural Habitats And Human Life written by Haque, Shameemul and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-01 with Computers categories.
6G technology promises advancements in energy efficiency and sustainable industrial manufacturing for smart cities. It also has the potential to optimize operations by streamlining processes and managing energy consumption but may come with ecological and social costs. 6G infrastructure encourages higher energy usage and increases the amount of electronic waste and radiation, which may have a negative impact on wildlife and their natural habitats. Additionally, society may also be threatened by automation, taking jobs from humans and subjecting them to health risks from increased radiation exposure. Therefore, 6G must be deployed responsibly, striving towards greater technological, environmental, and economic sustainability. 6G Impacts on Natural Habitats and Human Life highlights the positives of 6G technological advancement and its negative impact on natural habitats. It raises concerns about sustainability in terms of technology use, nature conservation, and humanity. Covering topics such as human life management, eco-intelligence, and climate change mitigation, this book is an excellent resource for technologists, business leaders, sustainability scientists, sociologists, biologists, ecologists, researchers, academicians, and more.
Ai Powered Digital Twins For Predictive Healthcare Creating Virtual Replicas Of Humans
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Author : S., Balasubramaniam
language : en
Publisher: IGI Global
Release Date : 2025-03-28
Ai Powered Digital Twins For Predictive Healthcare Creating Virtual Replicas Of Humans written by S., Balasubramaniam and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-28 with Medical categories.
AI-powered digital twins for predictive healthcare may revolutionize monitoring, diagnosis, and treatment of health conditions. By leveraging AI, machine learning, and data, to utilizing wearable devices, medical imaging, genetic profiles, and clinical records, digital twins can simulate a wide range of health scenarios and predict outcomes with accuracy. This innovation allows for proactive, individualized care by forecasting disease risks, optimizing treatment plans, and enabling real-time health monitoring. AI-driven digital twins offer insights into how various treatments, environmental factors, and lifestyle changes might affect long-term health. As healthcare becomes data-driven, the potential of AI-powered digital twins to transform patient care may reduce hospital admissions, improve outcomes, and reshape the future of medicine. AI-Powered Digital Twins for Predictive Healthcare: Creating Virtual Replicas of Humans explores the science, technology, and real-world applications behind digital twins. It examines how these digital replicas are used for predictive healthcare, accelerating drug discovery, simulating surgical outcomes, and personalizing therapeutic interventions based on real-time, AI-driven insights. This book covers topics such as digital twins, healthcare monitoring, and ethics and law, and is a useful resource engineers, healthcare professionals, academicians, researchers, and scientists.
Ai And Blockchain Applications For Privacy And Security In Smart Medical Systems
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Author : Ahad, Abdul
language : en
Publisher: IGI Global
Release Date : 2025-04-30
Ai And Blockchain Applications For Privacy And Security In Smart Medical Systems written by Ahad, Abdul and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Medical categories.
Medical systems have evolved over time to enhance healthcare efficiency and patient outcomes. To revolutionize privacy and security organizations must integrate AI and blockchain technologies. AI analytics optimize diagnostics, treatment planning, and real-time monitoring, while blockchain ensures tamper-proof data integrity, secures patient records, and ensures transparent transactions. With both technologies working together, it addresses critical challenges like data breaches, unauthorized personnel, and inoperability issues in healthcare networks. Applying AI and blockchain applications to security frameworks and medical systems can offer efficient privacy and trustworthy digital systems. AI and Blockchain Applications for Privacy and Security in Smart Medical Systems explores the integration of AI, blockchain, smart technologies, and communication systems in modern healthcare. It examines how these applications can enhance security, privacy, data integrity, and operational efficiency in healthcare systems. This book covers topics such as smart AI, blockchain, and healthcare technologies, and is an excellent resource for academic professionals, healthcare technologists, and medical practitioners.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Ai Driven Innovation In Healthcare Data Analytics
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Author : Özgür Polat, Leyla
language : en
Publisher: IGI Global
Release Date : 2024-11-27
Ai Driven Innovation In Healthcare Data Analytics written by Özgür Polat, Leyla and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-27 with Medical categories.
As the healthcare industry continues to rely on data to enhance patient outcomes and streamline operations, artificial intelligence (AI) becomes a powerful tool for complex dataset analysis using improved speed and accuracy. From predictive modeling in disease outbreak management to personalized treatment plans for individual patient profiles, AI technologies are reshaping clinical decision-making and resource allocation. Harnessing the potential of machine learning and advanced analytics may allow healthcare providers to uncover insights that drive innovation, improve patient care, and optimize operational efficiency. AI-Driven Innovation in Healthcare Data Analytics explores the intersection of AI and healthcare data analytics. It examines the application of AI-driven techniques, including machine learning, deep learning, and data mining, in addressing complex challenges in healthcare management. This book covers topics such as data science, medical diagnosis, and patient care, and is a useful resource for healthcare professionals, data scientists, computer engineers, business owners, academicians, and researchers.