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019 _a1277048020
020 _a9781119818717
_q(electronic bk. ;
_qoBook)
020 _a1119818710
_q(electronic bk. ;
_qoBook)
020 _a9781119818700
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020 _a1119818702
020 _a1119818699
020 _a9781119818694
_q(electronic bk.)
020 _z9781119818687
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024 7 _a10.1002/9781119818717
_2doi
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029 1 _aUKMGB
_b020341981
035 _a(OCoLC)1284999743
_z(OCoLC)1277048020
037 _a9781119818694
_bWiley
037 _a9781119818687
_bO'Reilly Media
050 4 _aR859.7.A78
082 0 4 _a610.28563
_223
049 _aMAIN
245 0 0 _aComputational intelligence and healthcare informatics /
_cedited by Om Prakash Jena, Alok Ranjan Tripathy, Ahmed A. Elngar, Zdzislaw Polkowski.
264 1 _aHoboken, NJ :
_bWiley ;
_aBeverly, MA :
_bScrivener Publishing,
_c2021.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aMachine learning in biomedical science and healthcare informatics
505 0 _aFront Matter -- Introduction. Machine Learning and Big Data: An Approach Toward Better Healthcare Services / Nahid Sami, Asfia Aziz -- Medical Data Processing and Analysis. Thoracic Image Analysis Using Deep Learning / Rakhi Wajgi, Jitendra V Tembhurne, Dipak Wajgi -- Feature Selection and Machine Learning Models for High-Dimensional Data: State-of-the-Art / G Manikandan, S Abirami -- A Smart Web Application for Symptom-Based Disease Detection and Prediction Using State-of-the-Art ML and ANN Models / Parvej Reja Saleh, Eeshankur Saikia -- Classification of Heart Sound Signals Using Time-Frequency Image Texture Features / Sujata Vyas, Mukesh D Patil, Gajanan K Birajdar -- Improving Multi-Label Classification in Prototype Selection Scenario / Himanshu Suyal, Avtar Singh -- A Machine Learning-Based Intelligent Computational Framework for the Prediction of Diabetes Disease / Maqsood Hayat, Yar Muhammad, Muhammad Tahir -- Hyperparameter Tuning of Ensemble Classifiers Using Grid Search and Random Search for Prediction of Heart Disease / Fathima M Dhilsath, S Justin Samuel -- Computational Intelligence and Healthcare Informatics Part III-Recent Development and Advanced Methodologies / Sankar Pariserum Perumal, Ganapathy Sannasi, Kumar SVN Santhosh, Kannan Arputharaj -- Wolfram's Cellular Automata Model in Health Informatics / Sutapa Sarkar, Mousumi Saha -- Machine Learning and COVID Prospective. COVID-19: Classification of Countries for Analysis and Prediction of Global Novel Corona Virus Infections Disease Using Data Mining Techniques / Sachin Kamley, Shailesh Jaloree, RS Thakur, Kapil Saxena -- Sentiment Analysis on Social Media for Emotional Prediction During COVID-19 Pandemic Using Efficient Machine Learning Approach / Kalimuthu Sivanantham -- Primary Healthcare Model for Remote Area Using Self-Organizing Map Network / Sayan Das, Jaya Sil -- Face Mask Detection in Real-Time Video Stream Using Deep Learning / Alok Negi, Krishan Kumar -- A Computational Intelligence Approach for Skin Disease Identification Using Machine/Deep Learning Algorithms / Swathi Jamjala Narayanan, Pranav Raj Jaiswal, Ariyan Chowdhury, Amitha Maria Joseph, Saurabh Ambar -- Asymptotic Patients' Healthcare Monitoring and Identification of Health Ailments in Post COVID-19 Scenario / Pushan KR Dutta, Akshay Vinayak, Simran Kumari -- COVID-19 Detection System Using Cellular Automata-Based Segmentation Techniques / Rupashri Barik, M Nazma, B J Naskar, Sarbajyoti Mallik -- Interesting Patterns From COVID-19 Dataset Using Graph-Based Statistical Analysis for Preventive Measures / C B Abhilash, Kavi Mahesh -- Prospective of Computational Intelligence in Healthcare. Conceptualizing Tomorrow's Healthcare Through Digitization / Riddhi Chatterjee, Ratula Ray, Satya Ranjan Dash, Om Prakash Jena -- Domain Adaptation of Parts of Speech Annotators in Hindi Biomedical Corpus: An NLP Approach / Pitambar Behera, Om Prakash Jena -- Application of Natural Language Processing in Healthcare / Khushi Roy, Subhra Debdas, Sayantan Kundu, Shalini Chouhan, Shivangi Mohanty, Biswarup Biswas -- Index
504 _aIncludes bibliographical references and index.
588 0 _aPrint version record.
520 _aCOMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis. Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, artificial intelligence (AI) techniques are being effectively used in the fields of health to improve the efficiency of treatments, avoid the risk of false diagnoses, make therapeutic decisions, and predict the outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analyzing and applying the large amount of knowledge necessary to solve complex problems. Computational intelligence in healthcare mainly uses computer techniques to perform clinical diagnoses and suggest treatments. In the present scenario of computing, CI tools present adaptive mechanisms that permit the understanding of data in difficult and changing environments. The desired results of CI technologies profit medical fields by assembling patients with the same types of diseases or fitness problems so that healthcare facilities can provide effectual treatments. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide researchers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodological and algorithmic solutions to data processing problems; and the design and analysis of evolving trends in health informatics, intelligent disease prediction and computer-aided diagnosis. Audience The book is of interest to artificial intelligence and biomedical scientists, researchers, engineers and students in various settings such as pharmaceutical & biotechnology companies, virtual assistants developing companies, medical imaging & diagnostics centers, wearable device designers, healthcare assistance robot manufacturers, precision medicine testers, hospital management, and researchers working in healthcare system.
590 _aJohn Wiley and Sons
_bWiley Online Library: Complete oBooks
650 0 _aArtificial intelligence
_xMedical applications.
650 0 _aMedical informatics.
650 0 _aComputational intelligence.
650 6 _aIntelligence artificielle en m�edecine.
650 6 _aM�edecine
_xInformatique.
650 6 _aIntelligence informatique.
650 7 _aArtificial intelligence
_xMedical applications
_2fast
650 7 _aComputational intelligence
_2fast
650 7 _aMedical informatics
_2fast
700 1 _aJena, Om Prakash,
_eeditor.
758 _ihas work:
_aComputational intelligence and healthcare informatics (Text)
_1https://id.oclc.org/worldcat/entity/E39PCGTgRwD7m78w3YYBTfJvBK
_4https://id.oclc.org/worldcat/ontology/hasWork
776 0 8 _iPrint version:
_z9781119818687
830 0 _aMachine learning in biomedical science and healthcare informatics.
856 4 0 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119818717
938 _aAskews and Holts Library Services
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