Nabanita Das – författare

This book focuses on the applications of different digital platforms in the field of healthcare. It describes different devices used in digital healthcare, their benefits, diagnosis, use in treatment, and use cases related to mobile healthcare. Further, it covers machine and deep learning, blockchain technology, big data analytics as relevant to digital healthcare, telehealth technology, and digital applications in the field of push-and-pull pharma marketing. Overall, it enables readers to understand the basics of decision-making processes using digital techniques for the healthcare field.

Features:

Discusses various aspects of digitization of healthcare systems

Examines deployment of machine learning including IoT and medical analytics

Provides studies on the design, implementation, development, and management of intelligent healthcare systems

Includes sensor-based digitization of healthcare data

Reviews real-time advancement and challenges of digital communication in the field of healthcare

This book is aimed at researchers and graduate students in healthcare, internet of things, machine learning, computer science, robotics, wearables, electrical engineering, and biomedical engineering.

This book focuses on the applications of different digital platforms in the field of healthcare. It describes different devices used in digital healthcare, their benefits, diagnosis, use in treatment, and use cases related to mobile healthcare. Further, it covers machine and deep learning, blockchain technology, big data analytics as relevant to digital healthcare, telehealth technology, and digital applications in the field of push-and-pull pharma marketing. Overall, it enables readers to understand the basics of decision-making processes using digital techniques for the healthcare field.

Features:

Discusses various aspects of digitization of healthcare systems

Examines deployment of machine learning including IoT and medical analytics

Provides studies on the design, implementation, development, and management of intelligent healthcare systems

Includes sensor-based digitization of healthcare data

Reviews real-time advancement and challenges of digital communication in the field of healthcare

This book is aimed at researchers and graduate students in healthcare, internet of things, machine learning, computer science, robotics, wearables, electrical engineering, and biomedical engineering.

This book focuses on the applications of different digital platforms in the field of healthcare. It describes different devices used in digital healthcare, their benefits, diagnosis, use in treatment, and use cases related to mobile healthcare. Further, it covers machine and deep learning, blockchain technology, big data analytics as relevant to digital healthcare, telehealth technology, and digital applications in the field of push-and-pull pharma marketing. Overall, it enables readers to understand the basics of decision-making processes using digital techniques for the healthcare field.Features: Discusses various aspects of digitization of healthcare systems Examines deployment of machine learning including IoT and medical analytics Provides studies on the design, implementation, development, and management of intelligent healthcare systems Includes sensor-based digitization of healthcare data Reviews real-time advancement and challenges of digital communication in the field of healthcareThis book is aimed at researchers and graduate students in healthcare, internet of things, machine learning, computer science, robotics, wearables, electrical engineering, and biomedical engineering.

This book focuses on the applications of different digital platforms in the field of healthcare. It describes different devices used in digital healthcare, their benefits, diagnosis, use in treatment, and use cases related to mobile healthcare. Further, it covers machine and deep learning, blockchain technology, big data analytics as relevant to digital healthcare, telehealth technology, and digital applications in the field of push-and-pull pharma marketing. Overall, it enables readers to understand the basics of decision-making processes using digital techniques for the healthcare field.Features: Discusses various aspects of digitization of healthcare systems Examines deployment of machine learning including IoT and medical analytics Provides studies on the design, implementation, development, and management of intelligent healthcare systems Includes sensor-based digitization of healthcare data Reviews real-time advancement and challenges of digital communication in the field of healthcareThis book is aimed at researchers and graduate students in healthcare, internet of things, machine learning, computer science, robotics, wearables, electrical engineering, and biomedical engineering.

This book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Analytics and Insights (ICDAI 2025), organized by Techno International, Kolkata, India, during August 28–30, 2025. The two volumes of the book cover important topics like sensor and network data analytics and insights; big data analytics and insights; biological and biomedical data analysis and insights; optimization techniques, time series analysis and forecasting; power and energy systems data analytics and insights; civil and environmental data analytics and insights; and industry and applications.

This book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Analytics and Insights (ICDAI 2025), organized by Techno International, Kolkata, India, during August 28–30, 2025. The two volumes of the book cover important topics like sensor and network data analytics and insights; big data analytics and insights; biological and biomedical data analysis and insights; optimization techniques, time series analysis and forecasting; power and energy systems data analytics and insights; civil and environmental data analytics and insights; and industry and applications.

This book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Analytics and Insights (ICDAI 2025), organized by Techno International, Kolkata, India, during August 28–30, 2025. The two volumes of the book cover important topics like sensor and network data analytics and insights; big data analytics and insights; biological and biomedical data analysis and insights; optimization techniques, time series analysis and forecasting; power and energy systems data analytics and insights; civil and environmental data analytics and insights; and industry and applications.

Last, but not least, thanks to all the participants and authors. We hope that they enjoyed the workshop as much as the wonderful and culturally vibrant city of Kolkata! Bhabani P. Sinha Indian Statistical Institute, Kolkata, India December 2004 Sajal K. Das University of Texas, Arlington, USA December 2004 Program Chairs’ Message On behalf of the Technical Program Committee of the 6th International Wo- shop on Distributed Computing, IWDC 2004, it was our great pleasure to w- come the attendees to Kolkata, India. Over the last few years, IWDC has emerged as an internationally renowned forum for interaction among researchers from academia and industries around the world. A clear indicator of this fact is the large number of high-quality submissions of technical papers received by the workshop this year. The workshop program consisted of 12 technical sessions with 54 contributed papers, two keynote addresses, four tutorials, a panel, a poster session and the Prof.A.K.ChoudhuryMemorialLecture.TheIWDCProgramCommittee,c- prising 38 distinguished members, worked hard to organize the technical p- gram. Following a rigorous review process, out of 157 submissions only 54 - pers were accepted for presentation in the technical sessions; 27 of the accepted papers were classi?ed as regular papers and the remaining 27 as short papers. Another 11 papers were accepted for presentation in the poster session, each with a one-page abstract appearing in the proceedings.