Authors: Dr. Priyanka Dhaka
ISBN-13: 978-93-49554-43-6
Format: Paperback and e-book
Pages: 138
Product Dimensions: 6 x 9 inch
Publisher: Bharat Global Publications
Dr. Priyanka Dhaka (Ph.D), is faculty in Department of Business Administration at Maharaja Surajmal Institute (Delhi) India. She did her Ph.D degree in Computer Science Engineering from USICT, GGSIPU (Delhi), India, M.Tech degree in Information Technology from USICT, GGSIPU (Delhi) India, B.Tech Degree in Computer Science & Engineering from JPIET, UPTU (UP) India. Previously, she taught at Maharaja Surajmal Institute of Technology (Delhi) India. She has an enriched teaching experience of 8 years to her credit in the area of Computer Science. She has published 5 research papers (1 SCIE, 2 ESCI, 1 SCOPUS) in peer reviewed national and international journals of repute. She has presented more than 7 research papers in national and international conferences/seminars. She has participated in more than 10 workshops/ FDPs/ refresher courses etc. Dr. Dhaka successfully participated as a session chair in a conference. She has given special lectures in various colleges related to Big Data Analytics. Her area of interest for research is Big Data, Deep Learning and AI. She has published 3 book Chapters in collaboration with international publishers like Springer Nature.
The use of the Internet of Things has increased every day in the present year. Numerous industries, including business, agriculture, urban planning, and health care, have embraced the Internet of Things. The most often utilized technologies include wireless sensor networks, smart mobile technologies, and radio frequency identification. IoT in healthcare offers more appropriate, cost-effective, and environmental friendly solutions. Machine-to-machine networks use the Internet of Things, an example of cutting-edge technology, to enable communication between the devices. Many various domains, including health care, industry, cities, and agriculture, can benefit from a variety of solutions offered by IoT.
A Metaheuristic-Driven Approach to Enhance Heart Disease Prediction via Deep Learning is the result of a collaborative approach of utilizing artificial intelligence, Internet of Things, and optimization algorithms which has discovered innovative ways to predict and prevent diseases, bringing optimism for better health and stronger resilience on a global scale. As move forward in this endeavour, it is vital that we stay dedicated to advancing technology, working together, and ultimately enhancing the well-being of those impacted by cardiovascular conditions.
In this book, we explore a significant achievement in the ongoing fight against cardiovascular diseases. Implementing these models in real healthcare settings shows potential for improving patient care and clinical decision-making. Through collaboration between researchers, clinicians, and technologists, we can work towards a future where cardiovascular diseases are not only predicted but also prevented and managed more efficiently.
Our hope is to inspire researchers, students, technologists, environmental advocates, and policymakers to see Deep learning not just as a technological advancement, but as a catalyst for a more sustainable and resilient future.
This work is a testament to the power of collaboration—across disciplines, across technologies, and across human and ecological boundaries. We believe that metaheuristic approach is not just about smarter algorithms; it’s about building a smarter, more compassionate relationship with our planet.
Thank you for joining us on this journey toward harnessing innovation for a healthier world.