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Showing posts from May, 2021

A Journey from Hindi-medium modest-city scholar to the global amount academic administrator

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  In discussion with Dr. Sandeep Kautish. Dr. Sandeep Kautish is working as Professor & Dean-Lecturers with LBEF Campus, Kathmandu Nepal running in tutorial collaboration with Asia Pacific University of Technology & Innovation Malaysia. He is an academician by choice and backed with 16+ A long time of operate encounter in lecturers including over 05 years in tutorial administration in numerous institutions of India and abroad. He has meritorious tutorial documents throughout his educational career. He earned his bachelor’s, master’s, and doctorate degree in Computer Science on Smart Systems in Social Networks. He holds a PG Diploma in Management also. His places of research curiosity are Enterprise Analytics, Machine Learning, Info Mining, and Information Systems. He has forty+ publications in his account and his investigation works have been revealed in reputed journals with high effect factor and SCI/SCIE/Scopus/WoS indexing. His research papers can be located at Computer St

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

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  Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics   presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, a