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Machine Learning and Analytics in Healthcare Systems: Principles and Application

Description: Machine Learning and Analytics in Healthcare Systems by Himani Bansal, Balamurugan Balusamy, T. Poongodi, Firoz Khan KP Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It will combine the design and problem-solving skills of engineering with health sciences, in order to advance healthcare treatment. The book will include areas such as diagnosis, monitoring, and therapy. Publisher Description This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It will combine the design and problem-solving skills of engineering with health sciences, in order to advance healthcare treatment. The book will include areas such as diagnosis, monitoring, and therapy. The book will provide real-world case studies, gives a detailed exploration of applications in healthcare systems, offers multiple perspectives on a variety of disciplines, while also letting the reader know how to avoid some of the consequences of old methods with data sharing. The book can be used as a reference for practitioners, researchers and for students at basic and intermediary levels in Computer Science, Electronics and Communications. Author Biography Himani Bansal has over 14 years of wide experience in Academics and IT industry. She is currently working as Assistant Professor in Jaypee Institute of Information Technology, Noida, India and possess many reputed certifications such as UGC National Eligibility Test (NET), IBM Certified Academic Associate DB2 9 Database and Application Fundamentals, Google Analytics Platform Principles by Google Analytics Academy, E-Commerce Analytics by Google Analytics Academy and RSA (Rational Seed Academy) and SAP-ERP professional. Her general research interests include Machine learning and Data Analytics, Cloud Computing, Business Analytics, Data Mining and Information Retrieval. She has filed 4 patents and has around 40 publications including edited books, authored book, international journals and conferences of high repute. She has served as section editor, guest editor, convener and session chair for various upright Journals and Conferences such as SCPE, NGCT, IndiaCom, CSI Digital Life, IJAIP, JGIM, ICACCI, ICCCA, etc. and has reviewed many research papers. She serves as Life Member of various professional societies such as CSI, ISTE, CSTA and IAENG and is an active member of IEEE and ACM. Recently, IEEE has conferred her with Senior Membership.Balamurugan Balusamy has served up to the position of Associate Professor in his stint of 14 years of experience with VIT University, Vellore. He has completed his Bachelors, Masters and Ph.D. Degrees from Top premier institutions .His passion is teaching and adapts different design thinking principles while delivering his lectures .He has done around 30 books on various technologies and visited 15 plus countries for his technical discourse .He has several top notch conferences in his resume and has published over 150 of quality journal, conference and book chapters combined. He serves in the advisory committee for several startup and forums and does consultancy work for industry on Industrial IOT. He has given over 175 talks in various events and symposium. He is currently working as professor in Galgotias University and teaches students, does research on Block chain and IOT.T. Poongodi is working as an Associate Professor in School of Computing Science and Engineering, Galgotias University, Greater Noida, India. She has completed Ph.D in Information Technology (Information and Communication Engineering) from Anna University, Tamil Nadu, India. Her main thrust research areas are Big Data, Internet of Things, Ad-hoc networks, Network Security and Cloud computing. She is a pioneer researcher in the areas of Bigdata, Wireless network, Internet of Things and has published more than 25 papers in various international journals. She has presented paper in National/International Conferences, published book chapters in CRC Press, IGI global, Springer, Elsevier and edited books in CRC, IET, Wiley, Springer and Apple Academic Press.Firoz Khan KP was born in Kerala, India, in 1974. He received his BSc degree in Electronics from the Bharatiyaar University, Coimbatore, India, in 1991 and Masters Degree in information Technology from University of Southern Queensland, Australia, and another Masters Degree in Information Network and Computer Security (with Honors) from New York Institute of Technology, Abu Dhabi, UAE, in 2006 and 2016 respectively. He is currently working towards his PhD in Computer Science from the British University in Dubai, Dubai, UAE. In 2001, he joined the Higher Colleges of Technology in Computer Information Science department as a Teaching Technician and continued on to become a Faculty member in 2005. He is currently holding the position of a Lecturer, with security and networking being his primary areas of teaching. His current research fields include computer security, machine learning, deep learning and computer networking. Details ISBN 0367487934 ISBN-13 9780367487935 Title Machine Learning and Analytics in Healthcare Systems Author Himani Bansal, Balamurugan Balusamy, T. Poongodi, Firoz Khan KP Format Hardcover Year 2021 Pages 262 Publisher Taylor & Francis Ltd GE_Item_ID:139819200; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 153.1 USD

Location: Fairfield, Ohio

End Time: 2025-02-06T03:35:01.000Z

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Machine Learning and Analytics in Healthcare Systems: Principles and Application

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9780367487935

Book Title: Machine Learning and Analytics in Healthcare Systems

Number of Pages: 262 Pages

Publication Name: Machine Learning and Analytics in Healthcare Systems

Language: English

Publisher: CRC Press LLC

Publication Year: 2021

Subject: Machine Theory, General, Data Processing, Manufacturing

Item Weight: 22.7 Oz

Type: Textbook

Item Length: 9.2 in

Subject Area: Computers, Technology & Engineering, Science

Author: Balamurugan Balusamy

Series: Green Engineering and Technology Ser.

Item Width: 6.1 in

Format: Hardcover

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