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      Machine Learning for Healthcare

      Handling and Managing Data

      AvRashmi Agrawal,Jyotir Moy Chatterjee

      Inbunden, Engelska, 2020

      1 776 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Beskrivning

      Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods. This book expresses the long-standing challenges in healthcare informatics and provides rational explanations of how to deal with them.Machine Learning for Healthcare: Handling and Managing Data provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of machine learning applications. These are illustrated in a case study which examines how chronic disease is being redefined through patient-led data learning and the Internet of Things. This text offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare. Readers will discover the ethical implications of machine learning in healthcare and the future of machine learning in population and patient health optimization. This book can also help assist in the creation of a machine learning model, performance evaluation, and the operationalization of its outcomes within organizations. It may appeal to computer science/information technology professionals and researchers working in the area of machine learning, and is especially applicable to the healthcare sector.The features of this book include: A unique and complete focus on applications of machine learning in the healthcare sector. An examination of how data analysis can be done using healthcare data and bioinformatics. An investigation of how healthcare companies can leverage the tapestry of big data to discover new business values. An exploration of the concepts of machine learning, along with recent research developments in healthcare sectors.

      Produktinformation

      • Utgivningsdatum:2020-12-09
      • Mått:156 x 234 x 21 mm
      • Vikt:660 g
      • Format:Inbunden
      • Språk:Engelska
      • Antal sidor:204
      • Förlag:Taylor & Francis Ltd
      • ISBN:9780367352332

      Utforska kategorier

      • Biologi inom Naturvetenskap och teknik
      • Databaser inom Data och IT
      • Systemvetenskap och AI inom Data och IT

      Mer om författaren

      Rashmi Agrawal is a Professor in the Department ofComputer Applications in MRIIRS, Faridabad. Dr.Agrawal has a rich teaching experience of more than 17years. She is UGC-NET(CS) qualified, and has completeda PhD, M. Phil, M. Tech, MSc, and MBA(IT). HerPhD focused on the area of machine learning, and herareas of expertise include Artificial Intelligence,Machine Learning, Data Mining, and OperatingSystems. She has published more than 30 researchpapers in various national and international conferences and journals, andhas authored many published books and chapters. She has organized variousfaculty development programs and has also directly participated inworkshops and faculty development programmes. She is actively involvedin research activities, and is a lifetime member of Computer Society of India.She has been a member of the technical programme committee of variousreputable conferences.Jyotir Moy Chatterjee is an Assistant Professor at theIT Department of Lord Buddha Education Foundation(Asia Pacific University of Technology and Innovation),Kathmandu, Nepal. Prior to this he has worked as anAssistant Professor at the CSE Department of GD RungtaCollege of Engineering and Technology (CSVTU),Bhilai, India. He has completed an M. Tech in ComputerScience and Engineering from Kalinga Institute ofIndustrial Technology, Bhubaneswar, Odisha and a B.Tech in Computer Science and Engineering from Dr.MGR Educational and Research Institute, Chennai. He has published 40international research papers, two international conference papers, authoredfour books, edited eight books, written 11 book chapters and has one patentto his account. His research interests include cloud computing, big data,privacy preservation, data mining, the Internet of Things, machine learning,and blockchain technology. He is a member of various professional societiesand international conferences.Abhishek Kumar has a PhD in computer science fromUniversity of Madras and an M. Tech in computer scienceand engineering from Government EngineeringCollege Ajmer at Rajasthan Technical University, Kota,India. He has over eight years of experience in academicteaching and has been published more than 55 times inreputed, peer-reviewed national and international journals,books and conferences (such as by Wiley, Taylor &Francis, Springer, Elsevier, Science Direct, Inderscience, Annals of ComputerScience, Poland, and IEEE). His research areas include: Artificial Intelligence,image processing, computer vision, data mining, and machine learning. Hehas also been on the international conference committees of many internationalconferences, and is currently serving as a reviewer for IEEE andInderscience journals. He has authored six internationally published booksand has edited 11 books with Wiley, IGI GLOBAL, Springer, Apple AcademicPress, CRC, and more. He is also member of various national and internationalprofessional societies in the field of engineering and research includingbeing a member of IEEE, ISOC (Internet Society)); IAIP (InternationalAssociation of Innovation Professionals), ICSES (International ComputerScience and Engineering Society) IAENG (International Association ofEngineers); an associate member of IRED (Institute of Research Engineersand Doctors; a life member of ISRD (International Society for research &Development); and an editorial board member of IOSRD. He has received thenational Sir CV Raman lifetime achievement award in 2018 in the youngresearcher and faculty category.Pramod Singh Rathore is currently pursuing his PhDin computer science and engineering at BundelkhandUniversity and is conducting ongoing research on networking.He has an M. Tech in computer science andengineering from Government Engineering CollegeAjmer, at Rajasthan Technical University, Kota, India.He has been working as an Assistant Professor of theComputer Science and Engineering Department atAryabhatt Engineering College and Research Centre,Ajmer, Rajasthan and is also a visiting faculty at Government UniversityMDS Ajmer. He has over eight years of experience in academic teachingand has been published more than 45 times in reputed, peer-reviewednational and international journals, books and conferences (such as Wiley,IGI GLOBAL, Taylor & Francis, Springer, Elsevier, Science Direct, Annals ofComputer Science, Poland, and IEEE). He has co-authored and edited manybooks with many reputed publishers like Wiley, and CRC Press, USA. Hisresearch areas include: NS2, computer networks, mining, and DBMS.Dac-Nhuong Le has a PhD and is Deputy-Head ofthe Faculty of Information Technology at HaiphongUniversity, Vietnam and Vice-Director of InformationTechnology at the Apply Center of the same university.He is a research scientist at the Research andDevelopment Center of Visualization & Simulation in(CSV), Duy Tan University, Danang, Vietnam. He hasmore than 45 publications in the reputed internationalconferences, journals, and online book chapter contributions(indexed by: SCI, SCIE, SSCI, Scopus, ACM, andDBLP). His areas of research include: evaluation computing and approximatealgorithms, network communication, security and vulnerability,network performance analysis and simulation, cloud computing, and biomedicalimage processing. His core work is in network security, wireless,soft computing, mobile computing and biomedical technology. Recently, hehas been on a technical program committee, a technical reviewer, and thetrack chair for international conferences such as: FICTA 2014, CSI 2014, IC4SD2015, ICICT 2015, INDIA 2015, IC3T 2015, INDIA 2016, FICTA 2016, IC3T 2016,ICDECT 2016, IUKM 2016, INDIA 2017, FICTA 2017, CISC 2017, ICICC 2018,ICCUT 2018 under the Springer-ASIC/LNAI/CISC Series. Presently, he isserving on the editorial board of international journals and he has authoredsix computer science books (published by Springer, Wiley, CRC Press,Lambert Publication, VSRD Academic Publishing, and Scholar Press).

      Innehållsförteckning

      • ContentsPreface..................................................................................................................... viiAcknowledgments..................................................................................................xiEditors.................................................................................................................... xiiiList of Contributors............................................................................................. xvii1. Fundamentals of Machine Learning...........................................................1Rashmi Agrawal2. Medical Information Systems..................................................................... 17Uday Sah, Abhushan Chataut, and Jyotir Moy Chatterjee3. The Role of Metaheuristic Algorithms in Healthcare...........................25G. Uma Maheswari, R. Sujatha, V. Mareeswari, and E. P. Ephzibah4. Decision Support System to Improve Patient Care................................ 41V. Diviya Prabha and R. Rathipriya5. Effects of Cell Phone Usage on Human Health and Specificallyon the Brain.....................................................................................................53Soobia Saeed, Afnizanfaizal Abdullah, N. Z. Jhanjhi, Mehmood Naqviand Shakeel Ahmed6. Feature Extraction and Bio Signals............................................................ 69A. Mary Judith, S Baghavathi Priya, N. Kanya, and Jyotir Moy Chatterjee7. Comparison Analysis of Multidimensional Segmentation UsingMedical Health-Care Information............................................................. 81Soobia Saeed, Afnizanfaizal Abdullah, N. Z. Jhanjhi, Memood Naqvi,and Azeem Khan8. Deep Convolutional Network Based Approach for Detectionof Liver Cancer and Predictive Analytics on Cloud...............................95Pramod H. B. and Goutham M.9. Performance Analysis of Machine Learning Algorithm forHealthcare Tools with High Dimension Segmentation...................... 115Soobia Saeed, Afnizanfaizal Abdullah, N. Z. Jhanjhi, Memood Naqviand Mamoona Humayun10. Patient Report Analysis for Identification andDiagnosis of Disease.................................................................................. 129Muralidharan C., Mohamed Sirajudeen Y., and Anitha R.11. Statistical Analysis of the Pre- and Post-Surgery in theHealthcare Sector Using High Dimension Segmentation.................. 159Soobia Saeed, Afnizanfaizal Abdullah, N. Z. Jhanjhi, Memood Naqvi,and Mamoona Humayun12. Machine Learning in Diagnosis of Children with Disorders........... 175Lokesh Kumar Saxena and Manishikha Saxena13. Forecasting Dengue Incidence Rate in Tamil Nadu UsingARIMA Time Series Model...................................................................... 187S. Dhamodharavadhani, R. RathipriyaIndex......................................................................................................................203
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