Blockchain and IoT Approaches for Secure Electronic Health Records (EHR)

Blockchain and IoT Approaches for Secure Electronic Health Records (EHR)
Author: Saini, Kavita
Publisher: IGI Global
Total Pages: 286
Release: 2024-05-28
Genre: Medical
ISBN:

In the realm of healthcare, the persistent challenges of data breaches, centralized systems, and fraudulent claims have posed significant hurdles in ensuring the integrity and security of patient information. The traditional approaches to managing Electronic Health Records (EHR) often fall short, leaving room for exploitation and compromising the confidentiality of sensitive medical data. Enter the transformative solution presented in Blockchain and IoT Approaches for Secure Electronic Health Records (EHR). This groundbreaking book navigates the intricate landscape of healthcare technology, addressing the vulnerabilities in the current systems. By leveraging the power of Blockchain technology, it pioneers a secure peer-to-peer communication system that not only ensures the tamper-proof nature of health records but also revolutionizes the entire healthcare industry. The book is a comprehensive exploration of Blockchain's relevance in healthcare, covering the architecture, scope, and applications that promise to redefine how patient data is managed and protected.

Blockchain – ICBC 2018

Blockchain – ICBC 2018
Author: Shiping Chen
Publisher: Springer
Total Pages: 302
Release: 2018-06-21
Genre: Computers
ISBN: 3319944789

This book constitutes the refereed proceedings of the First International Conference on Blockchain, ICBC 2018, held as part of the Services Conference Federation, SCF 2018, in Seattle, USA, in June 2018. The 16 full papers and 7 short papers presented were carefully reviewed and selected from 36 submissions. The papers cover a wide range of topics in blockchain technologies, platforms, solutions and business models such as new blockchain architecture, platform constructions, blockchain development and blockchain services technologies as well as standards, and blockchain services innovation lifecycle including enterprise modeling, business consulting, solution creation, services orchestration, services optimization, services management, services marketing, business process integration and management.

Workplace Cyberbullying and Behavior in Health Professions

Workplace Cyberbullying and Behavior in Health Professions
Author: Aslam, Muhammad Shahzad
Publisher: IGI Global
Total Pages: 301
Release: 2024-01-10
Genre: Business & Economics
ISBN:

In the modern healthcare system, a pervasive problem takes new shape as cyberbullying. Healthcare professionals, those dedicated to caring for the well-being of others, are increasingly falling victim to online harassment, intimidation, and harmful behavior. This corrosive issue disrupts team dynamics, undermines workplace culture, and poses severe psychological and emotional consequences for its targets. Academic scholars and healthcare decision-makers must grapple with the pressing need to address this burgeoning crisis. Workplace Cyberbullying and Behavior in Health Professions is a comprehensive and meticulously researched book that presents itself as the definitive solution to the ever-growing challenge of cyberbullying within healthcare. This book is aimed at postgraduate and post-doctorate researchers as well as policymakers, providing a solid foundation for understanding, addressing, and ultimately eliminating cyberbullying in healthcare environments.

Using Machine Learning to Detect Emotions and Predict Human Psychology

Using Machine Learning to Detect Emotions and Predict Human Psychology
Author: Rai, Mritunjay
Publisher: IGI Global
Total Pages: 332
Release: 2024-02-26
Genre: Psychology
ISBN:

In the realm of analyzing human emotions through Artificial Intelligence (AI), a myriad of challenges persist. From the intricate nuances of emotional subtleties to the broader concerns of ethical considerations, privacy implications, and the ongoing battle against bias, AI faces a complex landscape when venturing into the understanding of human emotions. These challenges underscore the intricate balance required to navigate the human psyche with accuracy. The book, Using Machine Learning to Detect Emotions and Predict Human Psychology, serves as a guide for innovative solutions in the field of emotion detection through AI. It explores facial expression analysis, where AI decodes real-time emotions through subtle cues such as eyebrow movements and micro-expressions. In speech and voice analysis, the book unveils how AI processes vocal nuances to discern emotions, considering elements like tone, pitch, and language intricacies. Additionally, the power of text analysis is of great importance, revealing how AI extracts emotional tones from diverse textual communications. By weaving these systems together, the book offers a holistic solution to the challenges faced by AI in understanding the complex landscape of human emotions.

Utilizing AI Techniques for the Perimenopause to Menopause Transition

Utilizing AI Techniques for the Perimenopause to Menopause Transition
Author: Sille, Roohi
Publisher: IGI Global
Total Pages: 376
Release: 2024-08-19
Genre: Medical
ISBN:

In the domain of women's health, the perimenopause to menopause transition stands out as a critical yet often misunderstood experience. Spanning several years before menopause, the perimenopause phase introduces a myriad of symptoms that impact a significant percentage of women globally. The distressing nature of these symptoms is underscored by the fact that while most subside within five years, a substantial minority endure them for up to 12 years. Comprehending and mitigating the impact of perimenopausal symptoms on women's health is an imperative challenge demanding a solution. Utilizing AI Techniques for the Perimenopause to Menopause Transition confronts the challenges faced by women during this pivotal period of change, employing cutting-edge deep learning approaches to identify, analyze, and address the associated symptoms. The book commences by elucidating the fundamental principles of perimenopause, providing readers with a robust foundation to comprehend the biological intricacies at play. Advanced machine learning techniques are then explored beyond conventional diagnostic methods, enabling a more nuanced identification and analysis of key menopausal symptoms. Statistical tools offer insights into global patterns of women's health. As methodologies are explored, the ethical landscape surrounding the collection of sensitive female health data is navigated. Addressing security and privacy concerns becomes paramount in the quest to harness AI for the betterment of women's health. Medical practitioners, healthcare providers, researchers, data scientists, and individuals experiencing perimenopause or menopause will find invaluable insights. Moreover, it holds significance for professionals in public health policies, educational institutions, and the pharmaceutical and health-tech industries.

Emerging Engineering Technologies and Industrial Applications

Emerging Engineering Technologies and Industrial Applications
Author: El Kacimi, Younes
Publisher: IGI Global
Total Pages: 453
Release: 2024-05-06
Genre: Science
ISBN:

Engineers have long been architects of progress, erecting massive buildings that touch the skies and designing technologies that redefine realms of known possibility. In this era of rapid change, keeping pace with innovation is the main challenge. Emerging Engineering Technologies and Industrial Applications is a comprehensive research book that delves deep into the heart of a relentless technological revolution within modern industry. From the limitless potential of the Internet of Things (IoT) to the cognitive wonders of Artificial Intelligence (AI), from the microscopic marvels of Nanotechnology to the precision and agility of Robotics, and from the revolutionary advancements in 3D Printing to the transformative capabilities of blockchain, this book explores emerging technologies. This book is an indispensable resource for professionals and researchers working in the field of emerging engineering technologies and their industrial applications. It caters to a diverse range of disciplines, including computer science and information technology, environmental, agricultural, and physical sciences, medical, healthcare, and life sciences, as well as science and engineering, and anyone seeking to navigate the current technological progress in the 21st century.

Federated Learning and Privacy-Preserving in Healthcare AI

Federated Learning and Privacy-Preserving in Healthcare AI
Author: Lilhore, Umesh Kumar
Publisher: IGI Global
Total Pages: 373
Release: 2024-05-02
Genre: Medical
ISBN:

The use of artificial intelligence (AI) in data-driven medicine has revolutionized healthcare, presenting practitioners with unprecedented tools for diagnosis and personalized therapy. However, this progress comes with a critical concern: the security and privacy of sensitive patient data. As healthcare increasingly leans on AI, the need for robust solutions to safeguard patient information has become more pressing than ever. Federated Learning and Privacy-Preserving in Healthcare AI emerges as the definitive solution to balancing medical progress with patient data security. This carefully curated volume not only outlines the challenges of federated learning but also provides a roadmap for implementing privacy-preserving AI systems in healthcare. By decentralizing the training of AI models, federated learning mitigates the risks associated with centralizing patient data, ensuring that critical information never leaves its original location. Aimed at healthcare professionals, AI experts, policymakers, and academics, this book not only delves into the technical aspects of federated learning but also fosters a collaborative approach to address the multifaceted challenges at the intersection of healthcare and AI.

Frontiers in Combating Antibacterial Resistance: Current Perspectives and Future Horizons

Frontiers in Combating Antibacterial Resistance: Current Perspectives and Future Horizons
Author: Grewal, Ajmer Singh
Publisher: IGI Global
Total Pages: 442
Release: 2024-03-25
Genre: Medical
ISBN:

The rise of modern antimicrobial drug resistance has evolved into a pressing global health crisis, challenging the very foundation of our ability to combat infectious diseases. The overuse and accessibility of antibiotics, particularly in emerging nations, have given rise to resilient "superbugs," rendering common medications ineffective. This escalating challenge poses a significant threat to public health and leads to heightened healthcare costs, prolonged patient stays, and increased mortality rates. As communities grapple with the urgent need for a coordinated response, a comprehensive understanding of antimicrobial drug resistance and innovative strategies becomes paramount. Frontiers in Combating Antibacterial Resistance: Current Perspectives and Future Horizons is meticulously crafted for academic scholars, researchers, and healthcare professionals. It addresses this critical issue head-on and serves as a beacon of knowledge and a solution-oriented guide. With a focus on elucidating the mechanisms behind antimicrobial drug resistance and exploring emerging therapeutic targets, the book presents an in-depth analysis of the problem. It spans environmental, genetic, and climatic factors influencing resistance, delving into cutting-edge technologies and sustainable strategies for prevention. By offering a holistic view of the issue and proposing evidence-based solutions, the book is an indispensable resource for those seeking to navigate the complex landscape of antimicrobial drug resistance.

Green AI-Powered Intelligent Systems for Disease Prognosis

Green AI-Powered Intelligent Systems for Disease Prognosis
Author: Khanna, Ashish
Publisher: IGI Global
Total Pages: 418
Release: 2024-08-23
Genre: Medical
ISBN:

Experts in Medicine are under new pressures of advancing their studies while also reducing the impact they leave on the environment. Researchers within the fields of bio-neuro informatics, healthcare, engineering, and medical sciences require a dynamic platform that bridges the realms of academia, science, industry, and innovation. Green AI-Powered Intelligent Systems for Disease Prognosis facilitates a crossroads for a diverse audience interested in these two seldom coalesced concepts. Academicians, scientists, researchers, professionals, decision-makers, and even aspiring scholars all find a space to contribute, collaborate, and learn within the platform that this book provides. The book's thematic coverage is unequivocally compelling; by exploring the intersections of bio-neuro informatics, healthcare, engineering, and medical sciences, it captures the spirit of interdisciplinary research. It delves into well-established domains while also casting a spotlight on emerging trends that have the potential to reshape our understanding of these fields. Two prominent tracks form the backbone of the book's content. The first covers the Bioinformatics and Data Mining of Biological Data (BiDMBD), and unravels the intricacies of biomedical computation, signal analysis, clinical decision support, and health data mining. This approach holds a treasure trove of insights into the mechanisms of health data acquisition, clinical informatics, and the representation of healthcare knowledge. The second covers Biomedical Informatics and is a symposium of computational modeling, genomics, and proteomics. Here, the fusion of data science with medical sciences takes center stage.