Hands On Healthcare Data

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Hands On Healthcare Data
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Author : Andrew Nguyen
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-08-10
Hands On Healthcare Data written by Andrew Nguyen and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-10 with Computers categories.
Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved. But first, you have to learn how to access and make sense of all that data. This book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and harmonization to feature engineering. Author Andrew Nguyen covers specific ML and deep learning examples with a focus on producing high-quality data. You'll discover how graph technologies help you connect disparate data sources so you can solve healthcare's most challenging problems using advanced analytics. You'll learn: Different types of healthcare data: electronic health records, clinical registries and trials, digital health tools, and claims data The challenges of working with healthcare data, especially when trying to aggregate data from multiple sources Current options for extracting structured data from clinical text How to make trade-offs when using tools and frameworks for normalizing structured healthcare data How to harmonize healthcare data using terminologies, ontologies, and mappings and crosswalks
Hands On Healthcare Data
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Author : Andrew Nguyen
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-08-10
Hands On Healthcare Data written by Andrew Nguyen and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-10 with Business & Economics categories.
Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved. But first, you have to learn how to access and make sense of all that data. This book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and harmonization to feature engineering. Author Andrew Nguyen covers specific ML and deep learning examples with a focus on producing high-quality data. You'll discover how graph technologies help you connect disparate data sources so you can solve healthcare's most challenging problems using advanced analytics. You'll learn: Different types of healthcare data: electronic health records, clinical registries and trials, digital health tools, and claims data The challenges of working with healthcare data, especially when trying to aggregate data from multiple sources Current options for extracting structured data from clinical text How to make trade-offs when using tools and frameworks for normalizing structured healthcare data How to harmonize healthcare data using terminologies, ontologies, and mappings and crosswalks
The Ethics Of Artificial Intelligence In Healthcare From Hands On Practice To Policy Making
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Author : Eike-Henner W. Kluge
language : en
Publisher: Springer Nature
Release Date : 2024-09-28
The Ethics Of Artificial Intelligence In Healthcare From Hands On Practice To Policy Making written by Eike-Henner W. Kluge and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-28 with Science categories.
This book provides an ethical analysis of the ethical issues that arise in the design, nature and use of AIs as they are currently used in the delivery and planning of healthcare by hands-on healthcare professionals, institutional administrators and social policy makers. It suggests that while these issues overlap, they have distinct aspects in the respective domains. Among other things, it distinguishing between AIs as expert systems as they are currently constituted and AIs as based in quantum computers or as constituted of bio-printed material, indicates how this is evolving and outlines the ethically relevant issues that would then arise.
Impact Of Covid 19 Pandemics And Syndemics On Healthcare Systems Worldwide
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Author : Ozgur Karcioglu
language : en
Publisher: Frontiers Media SA
Release Date : 2024-12-11
Impact Of Covid 19 Pandemics And Syndemics On Healthcare Systems Worldwide written by Ozgur Karcioglu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-11 with Medical categories.
The COVID-19 pandemic has altered almost every aspect of the world, including economics, social issues, health care, and politics. Many experts consider this phenomenon to be a "syndemic," as it is more than just an outbreak of a viral infectious disease. Almost all countries worldwide have been deeply involved in the battle since the early months of 2020. As of June 2023, almost 700 million people have been infected, with reportedly 6.9 million deaths (around 1%) recorded globally due to COVID-19. These profound changes have had an adverse impact on healthcare systems worldwide. The healthcare industry has evolved to screen, diagnose, and treat COVID-19 patients promptly and cost-effectively. However, this shift has meant that resources have been diverted to managing a specific disease, rather than on preventive measures and critical areas of healthcare like injury prevention, care of mothers and infants, elderly care, long-term care institutions, etc. As a result, patients have encountered significant challenges in accessing care from their regular physicians, finding hospital beds, and accessing ICU beds in situations of extreme illness. Healthcare workers have also faced dramatic consequences, such as losing their lives, carrying a higher risk of infection compared to the general population, and working in high-risk environments while mourning for their colleagues and still being obligated to work for extended hours under these conditions. Additionally, vaccination procedures have been difficult and problematic, particularly in developing countries, where full coverage has been difficult to achieve. This Research Topic aims to cover topics related to the impact and challenges of the pandemic and syndemic on pediatric healthcare, focusing on specific areas such as the prehospital system, emergency departments, ICUs, medical branches, preventive medicine, rehabilitation, sports medicine, and infection surveillance.
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.
The Transformative Power Of Ai Applications In Healthcare
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Author : Ayman Elmassarawy
language : en
Publisher: Ayman Elmassarawy
Release Date : 2025-01-24
The Transformative Power Of Ai Applications In Healthcare written by Ayman Elmassarawy and has been published by Ayman Elmassarawy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-24 with Computers categories.
Artificial intelligence (AI) is revolutionizing the healthcare industry, reshaping how medicine is practiced and how care is delivered. The Transformative Power of AI Applications in Healthcare delves into the dynamic intersection of AI and medicine, offering readers a profound understanding of the innovations driving change and the challenges that accompany them. With its compelling blend of technological insight and real-world applications, this book serves as an essential resource for medical professionals, technologists, policymakers, and curious minds. Key Themes and Innovations The book begins by laying the foundational concepts of AI in healthcare, tracing its evolution from early data visualization techniques to today’s advanced machine learning algorithms. Readers are introduced to the transformative potential of predictive analytics, where wearable devices, early warning systems, and disease modeling enable the detection and prevention of illnesses long before symptoms manifest. Revolutionizing Diagnostics: One of the standout themes is AI’s role in enhancing diagnostic accuracy and efficiency. Chapters illustrate how deep learning algorithms, such as those used in radiology and pathology, are empowering clinicians with faster, more reliable diagnoses. Case studies, including AI’s application in detecting diabetic retinopathy and breast cancer, reveal its ability to expand diagnostic capabilities, particularly in underserved regions. Personalized Medicine and Genomics: The exploration of genomics and pharmacogenomics highlights how AI is personalizing care to unprecedented levels. The book unpacks the shift from generic treatment protocols to precision therapies tailored to individual genetic profiles, citing examples like targeted cancer treatments and optimized drug dosing strategies. Surgical Innovations and Robotics: AI’s integration into robotic surgery systems is revolutionizing operating rooms worldwide. From minimally invasive procedures to real-time decision-making tools, readers learn how AI enhances surgical precision, reduces risks, and expands access to complex surgeries. The potential for remote surgeries and autonomous systems is also explored, showcasing the far-reaching impact of this technology. Public Health and Crisis Management: The role of AI in addressing global health crises takes center stage, with detailed discussions on how platforms like BlueDot and HealthMap provided early warnings during the COVID-19 pandemic. The book also examines AI’s contributions to vaccine development, resource allocation, and public health strategies, highlighting its transformative role in safeguarding global populations. Ethical Considerations and Challenges The book does not shy away from critical discussions on the ethical implications of AI. Topics such as algorithmic bias, data privacy, and equitable access to AI-driven innovations are examined with rigor. Readers are invited to consider how these challenges can be addressed through transparent, inclusive practices that prioritize fairness and human welfare. Vision for the Future Looking ahead, the book speculates on emerging frontiers of AI in healthcare. From mental health applications and autonomous diagnostics to advancements in bioprinting and chronic disease management, the potential for future breakthroughs is boundless. The narrative challenges readers to envision a healthcare system where AI seamlessly integrates with human expertise to deliver smarter, more compassionate care. Why This Book Matters At its core, The Transformative Power of AI Applications in Healthcare is not just about technology—it’s about the human impact. By offering an in-depth look at the advancements and ethical dilemmas surrounding AI, the book equips readers with the knowledge and inspiration to participate in shaping the future of medicine. It is both a roadmap and a call to action, urging readers to engage with the transformative power of AI and to champion its responsible implementation. This book is an indispensable guide for anyone interested in understanding how AI is reshaping healthcare. It illuminates the path forward, bridging the gap between innovation and humanity, and fostering a vision of a healthcare system that is smarter, more equitable, and profoundly impactful.
A Hands On Introduction To Data Science
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Author : Chirag Shah
language : en
Publisher: Cambridge University Press
Release Date : 2020-04-02
A Hands On Introduction To Data Science written by Chirag Shah and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-02 with Business & Economics categories.
An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.
Advancement Opportunities And Practices In Telehealth Technology
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Author : Kumar, S.N.
language : en
Publisher: IGI Global
Release Date : 2022-05-27
Advancement Opportunities And Practices In Telehealth Technology written by Kumar, S.N. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-27 with Medical categories.
Recent advancements in medical technology, such as telehealth services, have influenced the healthcare sector tremendously. While telehealth technology and its application are not new, it has not been widely utilized despite the numerous benefits and opportunities it provides. However, recent policy changes have lowered obstacles to telehealth access and pushed the use of telemedicine to deliver acute, chronic, primary, and specialist care. In order to successfully integrate this technology in all areas of healthcare, further study is required to fully understand the best practices and challenges of adoption. Advancement, Opportunities, and Practices in Telehealth Technology discusses advances in the digital health technology and telemedicine domains as well as key challenges, solutions, and opportunities regarding their use in healthcare. The book also introduces critical communication protocols, interconnections, system designs, and developments that are extensively used in the present-day telehealth process. Covering a wide range of topics such as digital twins, big data analytics, and robotics, this reference work is an ideal resource for engineers, industry professionals, hospital administration, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.
Proceedings Of The Iot And Lidar Technologies In Healthcare Workshop Ilth 2024
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Author : Nagender Kumar Suryadevara
language : en
Publisher: Springer Nature
Release Date : 2025-07-28
Proceedings Of The Iot And Lidar Technologies In Healthcare Workshop Ilth 2024 written by Nagender Kumar Suryadevara and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-28 with Technology & Engineering categories.
This open access volume contains the select proceedings of the IoT AND LiDAR Technologies in Healthcare Workshop (ILTH 2024). It is within the theme of Smart Interactive Outdoor Environments as a Healthcare Intervention aligns strongly with multiple United Nations Sustainable Development Goals (SDGs).
A Hands On Introduction To Big Data Analytics
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Author : Funmi Obembe
language : en
Publisher: SAGE Publications Limited
Release Date : 2024-02-23
A Hands On Introduction To Big Data Analytics written by Funmi Obembe and has been published by SAGE Publications Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-23 with Business & Economics categories.
This practical textbook offers a hands-on introduction to big data analytics, helping you to develop the skills required to hit the ground running as a data professional. It complements theoretical foundations with an emphasis on the application of big data analytics, illustrated by real-life examples and datasets. Containing comprehensive coverage of all the key topics in this area, this book uses open-source technologies and examples in Python and Apache Spark. Learning features include: - Ethics by Design encourages you to consider data ethics at every stage. - Industry Insights facilitate a deeper understanding of the link between what you are studying and how it is applied in industry. - Datasets, questions, and exercises give you the opportunity to apply your learning. Dr Funmi Obembe is the Head of Technology at the Faculty of Arts, Science and Technology, University of Northampton. Dr Ofer Engel is a Data Scientist at the University of Groningen.