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B01=Mohammed Wasid
B01=Saqib Hakak
B01=Tabasum Rasool
B01=Tawseef Ayoub Shaikh
Category1=Non-Fiction
Category=AKP
Category=MBNH
Category=TBC
Category=THR
Category=TJK
Category=UM
Category=UNF
Category=UYD
Category=UYF
Category=UYQ
COP=United Kingdom
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Price_€50 to €100
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Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques

English

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.

Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques discusses AI-based smart paradigms for reliable prediction of infectious disease dynamics; such paradigms can help prevent disease transmission. It highlights the different aspects of using extended reality for diverse healthcare applications and aggregates the current state of research. The book offers intelligent models of the smart recommender system for personal well-being services and computer-aided drug discovery and design methods. Case studies illustrating the business processes that underlie the use of big data and health analytics to improve healthcare delivery are center stage. Innovative techniques used for extracting user social behavior (known as sentiment analysis for healthcare-related purposes) round out the diverse array of topics this reference book covers.

Contributions from experts in the field, this book is useful to healthcare professionals, researchers, and students of industrial engineering, systems engineering, biomedical, computer science, electronics, and communications engineering.

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Current price €69.34
Original price €72.99
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Age Group_Uncategorizedautomatic-updateB01=Mohammed WasidB01=Saqib HakakB01=Tabasum RasoolB01=Tawseef Ayoub ShaikhCategory1=Non-FictionCategory=AKPCategory=MBNHCategory=TBCCategory=THRCategory=TJKCategory=UMCategory=UNFCategory=UYDCategory=UYFCategory=UYQCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€50 to €100PS=Forthcomingsoftlaunch

Will deliver when available. Publication date 22 Oct 2024

Product Details
  • Dimensions: 156 x 234mm
  • Publication Date: 22 Oct 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781032549217

About

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.

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