AIoT and Big Data Analytics for Smart Healthcare Applications

Download AIoT and Big Data Analytics for Smart Healthcare Applications PDF Online Free

Author :
Release : 2023-12-26
Genre : Computers
Kind :
Book Rating : 065/5 ( reviews)

AIoT and Big Data Analytics for Smart Healthcare Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AIoT and Big Data Analytics for Smart Healthcare Applications write by Shreyas Suresh Rao, Steven Lawrence Fernandes, Chandra Singh, Rathishchandra R. Gatti, Harisha A., Rohanchandra R. Gatty. This book was released on 2023-12-26. AIoT and Big Data Analytics for Smart Healthcare Applications available in PDF, EPUB and Kindle. AIoT (Artificial Intelligence of Things) and Big Data Analytics are catalyzing a healthcare revolution. This book is an accessible volume that summarizes the information available. In this book, researchers explore how AIoT and Big Data can seamlessly integrate into healthcare, enhancing medical services and devices while adhering to established protocols. The book demonstrates the crucial role of these technologies during healthcare crises like the COVID-19 pandemic. It presents novel solutions and computational techniques powered by AIoT, Machine Learning, and Deep Learning, providing a new frontier in healthcare problem-solving. Key Features: Real-Life Illustrations: Real-world examples showcase AIoT and Big Data in action, highlighting their impact in healthcare. Comprehensive Exploration: The book offers a thorough examination of AIoT, Big Data, and their harmonious synergy within the healthcare landscape. Visual Aids: Complex concepts become approachable through diagrams, flowcharts, and infographics, making technical processes and system designs more digestible. Ethical Insights: Delving into the ethical dimensions of AIoT and Big Data, it addresses concerns like data bias, patient consent, and transparency in healthcare. Forward-Looking Discourse: The book engages with emerging trends, potential innovations, and the future direction of AIoT and Big Data, making it a compass for healthcare transformation. Researchers, whether from academia, industry, or research and development organizations, interested in AIoT, Big Data, artificial intelligence, and healthcare optimization, will find this book informative. It also serves as an update for tech enthusiasts who want to explore the future of healthcare powered by AI and data.

Artificial Intelligence and Big Data Analytics for Smart Healthcare

Download Artificial Intelligence and Big Data Analytics for Smart Healthcare PDF Online Free

Author :
Release : 2021-10-22
Genre : Medical
Kind :
Book Rating : 627/5 ( reviews)

Artificial Intelligence and Big Data Analytics for Smart Healthcare - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence and Big Data Analytics for Smart Healthcare write by Miltiadis Lytras. This book was released on 2021-10-22. Artificial Intelligence and Big Data Analytics for Smart Healthcare available in PDF, EPUB and Kindle. Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

Big data analytics for smart healthcare applications

Download Big data analytics for smart healthcare applications PDF Online Free

Author :
Release : 2023-04-17
Genre : Medical
Kind :
Book Rating : 754/5 ( reviews)

Big data analytics for smart healthcare applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big data analytics for smart healthcare applications write by Celestine Iwendi. This book was released on 2023-04-17. Big data analytics for smart healthcare applications available in PDF, EPUB and Kindle.

Artificial Intelligence and Internet of Things

Download Artificial Intelligence and Internet of Things PDF Online Free

Author :
Release : 2021-08-25
Genre : Health & Fitness
Kind :
Book Rating : 252/5 ( reviews)

Artificial Intelligence and Internet of Things - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence and Internet of Things write by Lalit Mohan Goyal. This book was released on 2021-08-25. Artificial Intelligence and Internet of Things available in PDF, EPUB and Kindle. This book reveals the applications of AI and IoT in smart healthcare and medical systems. It provides core principles, algorithms, protocols, emerging trends, security problems, and the latest e-healthcare services findings. The book also provides case studies and discusses how AI and IoT applications such as wireless devices, sensors, and deep learning could play a major role in assisting patients, doctors, and pharmaceutical staff. It focuses on how to use AI and IoT to keep patients safe and healthy and, at the same time, empower physicians to deliver superlative care. This book is written for researchers and practitioners working in the information technology, computer science, and medical equipment manufacturing industry for products and services having basic- and high-level AI and IoT applications. The book is also a useful guide for academic researchers and students.

IoT, Machine Learning and Data Analytics for Smart Healthcare

Download IoT, Machine Learning and Data Analytics for Smart Healthcare PDF Online Free

Author :
Release : 2024-03-13
Genre : Computers
Kind :
Book Rating : 664/5 ( reviews)

IoT, Machine Learning and Data Analytics for Smart Healthcare - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook IoT, Machine Learning and Data Analytics for Smart Healthcare write by Mourade Azrour. This book was released on 2024-03-13. IoT, Machine Learning and Data Analytics for Smart Healthcare available in PDF, EPUB and Kindle. Machine learning, Internet of Things (IoT) and data analytics are new and fresh technologies that are being increasingly adopted in the field of medicine. This book positions itself at the forefront of this movement, exploring the beneficial applications of these new technologies and how they are gradually creating a smart healthcare system. This book details the various ways in which machine learning, data analytics and IoT solutions are instrumental in disease prediction in smart healthcare. For example, wearable sensors further help doctors and healthcare managers to monitor patients remotely and collect their health parameters in real-time, which can then be used to create datasets to develop machine learning models that can aid in the prediction and detection of any susceptible disease. In this way, smart healthcare can provide novel solutions to traditional medical issues. This book is a useful overview for scientists, researchers, practitioners and academics specialising in the field of intelligent healthcare, as well as containing additional appeal as a reference book for undergraduate and graduate students