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SISHML 2024 : Swarm Intelligence Smart Healthcare and Machine Learning


When N/A
Where Global
Submission Deadline TBD
Categories    springer   healthcare   machine learning   data analytics

Call For Papers

Smart healthcare with machine learning techniques offers a transformative paradigm that utilizes the power of new technology, data analytics, and interconnected devices to enhance the quality, efficiency, and accessibility of healthcare services. This involves leveraging Internet of Things (IoT) devices, wearable technology, and machine learning algorithms to monitor patient health, predict medical conditions, and offer personalized treatment recommendations. This innovative combination not only enhances diagnostics and treatment but also addresses the research challenges of healthcare access and delivery in an increasingly connected world. This explores the convergence of healthcare and cutting-edge technology, making it a captivating subject for readers interested in future research. We encourage researchers from academia and industry to contribute their cutting-edge research and insights to this book. By exploring the synergy between smart healthcare and machine learning, we aim to advance our understanding of how these technologies can collaborate to revolutionize patient care and healthcare delivery. This book will be an outcome with applications of future technologies to overcome the toughest humanitarian challenges from an engineering approach.


Dr.Mousmi Ajay Chaurasia
Muffakham Jah College of
Engineering and Technology,
Hyderabad, India.

Dr.Prasanalakshmi Balaji
College of Computer
Science, King Khalid
University, Abha,
Saudi Arabia.

Dr.Alejandro C. Frery
Professor of Statistics and
Data Science, Victoria
University of Wellington,
New Zealand.

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