Home

Books

Arts, Architecture & Photography

Decorative Arts & Design

Textile Design

Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques

1679.00

Inclusive of VAT

Free Delivery

Only 1 left in stock

Free Delivery

Get it by 11 May

Order in 18 h 45 m

Delivery by noon

Cash on Delivery

Secure Transaction

BANK OFFERS

SELLER

Sold by

Ophelia Books

Not enough ratings to show

Partner Since

7+ Y

Free delivery on Lockers & Pickup Points

This item is eligible for free returns

Product Overview

Specifications

Publisher	CRC Press; 1st edition
ISBN 13	9781032208305
ISBN 10	1032208309
Author	Tawseef Ayoub Shaikh
Book Format	Hardcover

Language	English
About the Author	Dr. Tawseef Ayoub Shaikh is an Assistant Professor in the Computer Science Engineering Department, Baba Ghulam Shah Badshah University (BGSBU), Rajouri, India. He earned his Doctorate from Zakir Hussain College of Engineering and Technology (ZHECT), Aligarh Muslim University (AMU), Aligarh, India. Before this, he earned his M-Tech from Guru Nanak Dev University (GNDU) Amritsar India and B-tech in Computer Engineering from Islamic University of Science and Technology (IUST) Jammu and Kashmir, India. He has five years of teaching and eight years of research experience and has published more than 33 journal/conference papers and book chapters which are indexed in reputed indexing bodies such as SCI, SCIE, WoS, and Scopus. Dr. Shaikh has qualified national-level exams in Computer Science Engineering like UGC-NET, JKSLET, and GATE. He has been granted and completed four fully funded government projects by MHRD, NPIU, and GoI. His areas of expertise include Machine Learning, Medical Data Analysis, Artificial Intelligence, Healthcare Informatics, Deep Learning, Soft Computing.Dr. Saqib Hakak is an Assistant Professor at Canadian Institute for Cybersecurity, Faculty of Computer Science University of New Brunswick, Fredericton, NB, Canada. He has completed his Post Doctorate Research at Canadian Institute for Cybersecurity, University of New Brunswick, Fredericton, in the IBM Project "Endpoint Threat Analytic: A people-oriented Cybersecurity", from Feb 2019 – Aug 2019. He has five years of teaching and eight years of research experience. He has published more than 33 journal/conference papers and book chapters which are indexed in reputed indexing bodies such as SCI, SCIE, WoS, and Scopus. He has three years of industrial experience in Radio Frequency Engineer (Telecom sector), Ericson India Pvt Limited, J&K circle (May 2011 – May 2012), Log analysis using TEMS KIT and analyzing parameters such as RSCP, TX power, EcNo. Dr. Hakak is the journal reviewer of reputed journals such as IEEE Transactions on Intelligent Transportation Systems, Future Generation Computer Systems, IEEE ACCESS, Mechanical Systems, and Signal Processing, etc. His areas of expertise are Natural language processing (NLP), Machine learning, Data Analyses, Data science for Security Applications, Medical data Analysis.Dr. Tabasum Rasool is a Research Associate (RA) at the Division of Interdisciplinary Sciences, Indian Institute of Science (IISc) Banglore. She is a Doctorate from the National Institute of Technology (NIT), Srinagar, and has published over ten papers in reputed journals/conferences and book chapters which are indexed in reputed indexing bodies such as SCI, SCIE, WoS, and Scopus. She has 9 years of research experience. Her areas of expertise include Machine Learning, Fuzzy Computing, Genetic Optimization Techniques, and Water Source Management.Dr. Mohammed Wasid is an Assistant Professor in the Department of Computer Science & Engineering, Govt. Engineering College, Bharatpur, Rajasthan. He earned his Doctorate from Zakir Hussain College of Engineering and Technology (ZHECT), Aligarh Muslim University (AMU), Aligarh, India. He has five years of teaching experience and eight years of research experience. He has published more than 25 papers in journals/conferences and book chapters which are all indexed in reputed bodies such as SCI, SCIE, WoS, and Scopus. Dr. Wasid has qualified national-level exams in Computer Science Engineering like UGC-NET and GATE. He has been granted and completed three fully funded government projects by MHRD, NPIU, and GoI. His areas of expertise include Machine Learning, Recommendation Systems, Soft Computing, and Pattern Recognition.
Publication Date	22 February 2023
Number of Pages	356 pages

Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques

Added to cart atc

Cart Total  1679.00