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HEALTHCARE SOLUTIONS USING MACHINE LEARNING

Dr. Sushil Dohare, Experienced Professor of Community Medicine with experience of working with World Health Organization. Skilled in Medical Education, Epidemiology, Personnel Management, Public Health Program Strategic Planning, Public Health Program Implementation and Program Evaluation. Vast international medical education experience as Faculty member in Zawia University Medical College, Zawia, Libya. Presently working as Associate Professor, Department of Epidemiology, College of Public Health and Tropical Medicine, Jazan University, Jazan, Saudi Arabia. Experienced researcher with many original research publications in international journals in areas of non communicable disease Epidemiology, Maternal and Child Health, Application of Nanotechnology in medical sciences. Graduated from MAMC(Maulana Azad Medical College, New Delhi, India); MD from LHMC(Lady Hardinge Medical College, New Delhi, India)

Ismail Keshta received his B.Sc. and the M.Sc. degrees in computer engineering and his Ph.D. in computer science and engineering from the King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, in 2009, 2011, and 2016, respectively. He was a lecturer in the Computer Engineering Department of KFUPM from 2012 to 2016. Prior to that, in 2011, he was a lecturer in Princess Nourah bint Abdulrahman University and Imam Muhammad ibn Saud Islamic University, Riyadh, Saudi Arabia. He is currently an assistant professor in the computer science and information systems department of AlMaarefa University, Riyadh, Saudi Arabia. His research interests include software process improvement, modeling, and intelligent systems.He can be contacted at email: imohamed@mcst.edu.sa.

Mr. Ashish Kumbhare is tenured  Assistant Professor in the Department of Faculty of Science and Technology at ICFAI University, Raipur, Chhattisgarh. He is having more than 12 years of experience. His scientific expertise lies in the Cloud Computing, Security and privacy in wireless network, IoT, Machine learning. Currently working on Integration of Internet of Things with Cloud Computing and in its application in healthcare services.

Born in Nagpur, Maharashtra. Mr. Ashish attended and graduated in Computer Science & Engineering and   from Rashtrasant Tukdoji Maharaj Nagpur University. Afterwards, He has acquired Masters of Technology degree in Computer Science &Engineering. He has served as HOD  in computer Science and Engineering department. He has been felicitated by Padmashri Dr. Mahesh Sharma as a teacher for being instrumental in helping students to achieve Excellence in the subject, in SRIHAN 2017. He has received Young Achiever Award 2022 from Institute of Scholars and received Preeminent Educator Award 2022 also.

Mr. Ashish has published 2 Indian patents. He has published more than 20 papers in scientific journals and conference proceedings. Also published books and book chapters in various international publications. Mr. Ashish has actively participated in various conferences and training programs. He has delivered many sessions as a resource person at different institutes/universities. Guided thesis to postgraduate student. He has reviewed a number of research publications in various journals.

Piyush Kumar Thakur is an Assistant  Professor in the Department of faculty of Science and Technology at ICFAI University, Raipur, Chhattisgarh. He received his PhD in Medicinal Chemistry in 2013 from Pt. Ravishankar Shukla University, Chhattisgarh. In 2013, he joined National Institute of Technology, Raipur as a teaching faculty in the department of Chemistry. In 2016, Dr. Thakur joined MATS University, Raipur, where he worked in the capacity of an Assistant Professor in the department of the Biological and Chemical Sciences where he supervises research activities in the field of Medicinal Chemistry and Synthesis of Green nano particle. Dr. Thakur was teaching Chemistry to bachelor students as well as spectroscopy, medicinal chemistry to the students masters. He has been involved in many collaborative research with yuline university, China, and chubu university, Japan. His recent activities are in the field of water ternary system and biosorbent for heavy metals removal. He has published more than 30 papers in various reputed scientific journals and conference proceedings. He has also been reviewing a number of research articles of different National and International journals.

Description

The Turing Test is an experiment that examines whether or not the behaviours of a machine are indistinguishable from those of a human being. The test was named after Alan Turing. It was intended as a test to determine whether or not a computer have the ability to demonstrate “artificial” intelligence. It is inaccurate, and there should be a clear distinction between the two terms. In point of fact, artificial intelligence comprises a variety of learning processes and is not limited to only machine learning alone. Rather, it is about learning in general. Components of artificial intelligence include things like natural language processing, deep learning, and representation learning (NLP). The process of digitalizing, which is also known as “datafication,” each and every aspect of life in the present day is referred to as “datafication.” The generation of these new data sets paves the way for the transformation of previously collected information into innovative and possibly lucrative forms. Samuel’s software was executed on an IBM 701 computer, which was about the same size as a standard double bed. The majority of the time, the data was in discrete form. This is not a reference to the process of really gaining information; rather, it is a reference to the job that is now being carried out. During this stage, a prototype is built by evaluating multiple models in light of historical data to determine which model will be the most successful. Adjusting the model’s hyperparameters is a necessary step that will be discussed in further depth in the following section of this chapter. The ideas that determine what constitutes appropriate and inappropriate behaviour are collectively referred to as morality. The subsequent secondary components that need to be looked at are the cost-effectiveness, the quality of the patient experience, and the overall quality of the healthcare provided. The overall number of patients that a provider treats and the total cost of care that patient receives from that provider both go into the financial rewards that the provider receives. The case studies that are presented here provide insightful and thought-provoking insights on the application of artificial intelligence, machine learning, and big data in the field of medicine.

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