MACHINE LEARNING FOR HEALTHCARE PREDICTIVE ANALYTICS AND PERSONALIZED MEDICINE

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In the field of healthcare informatics, the study of how data may be acquired, transferred, processed, saved, and retrieved is referred to as the study of how data can be gained, transmitted, processed, stored, and retrieved. This is how data that is relevant to healthcare can be obtained, sent, processed, stored, and retrieved. Early sickness prevention, early illness detection, early illness diagnosis, and early illness therapy are all essential components in this field of research about the treatment of early disease. For the purposes of the discipline of healthcare informatics, the only types of data that are considered to be credible are those that pertain to illnesses, patient histories, and the computer operations that are required in order to analyse this data. Traditional medical practices in the United States have made significant investments in cutting-edge technology and computational infrastructure over the course of the past two decades. These expenditures have been made in order to improve their ability to give help to academics, medical professionals, and patients. In order to enhance the quality of medical treatment that may be provided by using these numerous options, a substantial amount of resources have been invested in order to accomplish this goal. Providing patients with access to healthcare that is not only reasonably priced and of excellent quality, but also completely and wholeheartedly free of any and all fear, was the underlying objective that served as the impetus for all of these numerous programs. As a direct result of these efforts, the advantages and significance of utilising computational tools to assist with referrals and prescriptions, to establish and manage electronic health records (EHR), and to make technological advancements in digital medical imaging have become substantially more apparent. A direct consequence of the fact that the benefits of utilizing computational tools have become more apparent is the fact that this has come about. Electronic health records, often known as EHRs, are something that may be established and managed with the aid of modern technologies.

Autoren-Profil

Dr Kirti Shukla is associated with IILM University, Greater Noida since November 2023 as an Associate Professor in School of Computer Science and Engineering .She has more than 18 years of teaching experience in the institution of repute. She Earned her Doctorate degree in Computer Science from Banasthali Vidyapith Rajasthan in 2019. Her area of interest includes Computer Network, Distributed Computing and Artificial Intelligence. She has published around 50 research papers in national & international conferences and journals including MDPI, ACM Digital Library, IEEE eXplore, 5 Patents and 2 Books. She has worked as Invited Speaker, Session Chair, Reviewer, Editor, in many Journals and Conferences. She has Completed Innovation Ambassdor Training by MoE innovation Cell & AICTE . She was also Jury member of Toycathon by MoE innovation Cell & AICTE in 2021. She worked in many Committees like E-Cell, Board Of Studies, College Research Committee etc. She worked with accreditation team of NAAC, NBA, ARIIA and QS ranking

Dr. Nimmy John T completed Ph D in bio-signal processing from NITC during 2020. I have completed my M Tech from Karunya institute of Technology and sciences during 2013. My B Tech was from college of Engineering Kidangoor during 2006- 2010. I have participated many conferences and published journal papers. I have teaching experience of 5 years and an industry experience of nearly 7 months

Dr. Haewon Byeon received the Dr Sc degree in Biomedical Science from Ajou University School of Medicine. Haewon Byeon currently works at the Department of Medical Big Data, Inje University. His recent interests focus on health promotion, AImedicine, and biostatistics. He is currently a member of international committee for a Frontiers in Psychiatry, and an editorial board for World Journal of Psychiatry. Also, He were worked on 4 projects (Principal Investigator) from the Ministry of Education, the Korea Research Foundation, and the Ministry of Health and Welfare. Byeon has published more than 343 articles and 19 books.  

Dr. Brajesh Kumar Singh, Received the B.Tech in Electronics and Communication Engineering from Delhi Technological University, New Delhi (Formerly DCE, Delhi University) and, M.Tech and P.hD. both completed from Guru Gobind Singh Indraprastha University, New Delhi. He is working as Associate Professor in Galgotia College of Engineering and Technology (GCET), Greater Noida, Utter Pradesh, India. He has more than 14 years of teaching experience He has published more than 17 research papers in international Journals, 8 International Conferences, 5 Patents in the field of Image processing, Biometrics, Machine Learning, Communication Technology and IoT.

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