دانلود کتاب بینش‌های سلامت متصل برای توسعه پایدار با ادغام اینترنت اشیا، هوش مصنوعی و راه‌حل‌های داده‌محور

Achieving sustainability is a dream of everyone. People plan for sustainability through setting personal goals, milestones. However, addressing global challenges requires a more complex approach to developing goals and milestones. The United Nations (UN) has tackled this complexity by creating the Sustainable Development Goals (SDGs), a comprehensive framework designed to address the world’s most pressing issues. The 17 goals cover a broad spectrum of areas, including poverty, inequality, climate change, education, environment, and health, with SDG 3 specifically focusing on “Good Health and Well-Being” for all at all ages. The UN expects nations and individuals to work collaboratively toward achieving the SDGs by 2030. This requires a multifaceted approach where governments, private sectors, civil societies, and individuals must play critical roles. Government all across the globe are striving to contribute to SDGs by taking diverse approaches. Various fundings have been made available, targeting specific SDGs and encouraging individuals and organization to pitch in their efforts. SDG 3 has been a key target area particularly for developing and under-developed regions where mostly lack of access to healthcare facilities is a major cause of high mortality. Some of the strategies developed to achieve SDG 3 include developing health infrastructure, investing in health workforce, managing nutrition and food security, developing/revising/implementing health policies and regulations, conducting public health programs, ensuring environmental health, and encouraging research and development. Using advanced information technology has also become a global norm for improving healthcare access, creating personalized healthcare service, and managing population health. The next-generation technologies of Internet of Things (IoT), Data Science (DS), and Artificial Intelligence (AI) are expected to revolutionize the healthcare operation. Using these technologies, the patients can connect to the doctors and emergency service providers from anywhere, anytime; they can monitor their health trends right on their mobile applications and can also receive alerts about potential risks for their chronic diseases. Moreover, the governments can get detailed insights into population health trends, the probability of disease outbreaks, and future needs of resources. Based on these analytics, the policymakers are enabled for managing emergencies as well as for conducting routine awareness, training, and prevention programs to support health and well-being for their citizens. We have designed this book to present the role of IoT, DS, and AI toward the global healthcare sector. We have dedicated a couple of chapters to explain the SDGs and fundamentals of IoT, DS, and AI technologies to provide a solid background for from diverse fields, including both computer scientists and social scientists. We have proposed IoT-DS-AI nexus that takes data from the users/patients using various forms of devices and apps, performs advanced analytics, and provides predictions. The advanced tools and techniques from each domain of this nexus would ensure effective individual and population health management. From Chap. 3 onwards, we have described the detailed foundations, implementation, and challenges for IoT-DS-AI nexus for various healthcare applications. These include continuous health monitoring, m-Health and personalized medicine, digital imaging, population health surveillance, and resource optimization. In the end, we have presented overall challenges and opportunities for implementing the proposed technology nexus for achieving SDG 3.