001446084 000__ 04952cam\a2200529Ia\4500
001446084 001__ 1446084
001446084 003__ OCoLC
001446084 005__ 20230310003937.0
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001446084 019__ $$a1312160314$$a1312240829
001446084 020__ $$a9789811910760$$q(electronic bk.)
001446084 020__ $$a9811910766$$q(electronic bk.)
001446084 020__ $$z9811910758
001446084 020__ $$z9789811910753
001446084 0247_ $$a10.1007/978-981-19-1076-0$$2doi
001446084 035__ $$aSP(OCoLC)1312150344
001446084 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dN$T$$dOCLCF$$dUKAHL$$dOCLCQ
001446084 049__ $$aISEA
001446084 050_4 $$aR859.7.A78
001446084 08204 $$a610.285/63$$223/eng/20220502
001446084 24500 $$aAugmented intelligence in healthcare:$$ba pragmatic and integrated analysis /$$cSushruta Mishra, Hrudaya Kumar Tripathy, Pradeep Mallick, Khaled Shaalan, editors.
001446084 260__ $$aSingapore :$$bSpringer,$$c2022.
001446084 300__ $$a1 online resource
001446084 4901_ $$aStudies in computational intelligence ;$$vv. 1024
001446084 5050_ $$aChapter 1. A bibliometric analysis on the role of artificial intelligence in healthcare -- Chapter 2. Supervised Intelligent Clinical Approach for Breast Cancer Tumour Categorisation -- Chapter 3. Health Monitoring and Integrated Wearables -- Chapter 4. A Comprehensive Review Analysis of Alzheimer Disorder using Machine Learning Approach -- Chapter 5. Machine Learning Techniques in Medical Image: A Short Review -- Chapter 6. Analysis of Diabetic Retinopathy Detection Techniques using CNN Models -- Chapter 7. Experimental Evaluation Of Brain Tumor Image Segmentation and Detection Using CNN Model -- Chapter 8. Effective Deep Learning Algorithms for Personalized Healthcare Services -- Chapter 9. Automatic lung carcinoma identification and classification in CT images using CNN deep learning model -- Chapter 10. Augmented Intelligence: Deep Learning Models for Healthcare -- Chapter 11. Sentiment analysis and emotion detection with healthcare perspective -- Chapter 12. Augmented Intelligence in Mental healthcare: Sentiment analysis & emotion detection with healthcare perspective -- Chapter 13. NLP applications for big data analytics within healthcare -- Chapter 14. Cognitive Computing Driven Healthcare: A Precise Study -- Chapter 15. Cognitive Techniques for Brain Disorder Management: A Future Trend -- Chapter 16. Relevance of Blockchain in Revolutionizing Health Records -- Chapter 17. A Systematic Review on Blockchain Technology: Concepts, Applications, and Prospects in Healthcare -- Chapter 18. Integrated Machine Learning Models for Enhanced Security of Healthcare data -- Chapter 19. Symptoms based Biometric Pattern Detection and Recognition -- Chapter 20. Time Series Analysis of COVID 19 waves in India for Social Good -- Chapter 21. Detection of COVID-19 using A Multi-Scale Deep Learning Network:Covid-MSNet -- Chapter 22. Immersive Technologies in the Healthcare Space -- Chapter 23. Artificial Intelligence in Telemedicine: A Brief Survey -- Chapter 24. Infectious Diseases Reporting System Using Naive Bayes Classification Algorithm -- Chapter 25. A Comprehensive Study of Explainable Artificial Intelligence In Healthcare.
001446084 506__ $$aAccess limited to authorized users.
001446084 520__ $$aThe book discusses how augmented intelligence can increase the efficiency and speed of diagnosis in healthcare organizations. The concept of augmented intelligence can reflect the enhanced capabilities of human decision-making in clinical settings when augmented with computation systems and methods. It includes real-life case studies highlighting impact of augmented intelligence in health care. The book offers a guided tour of computational intelligence algorithms, architecture design, and applications of learning in healthcare challenges. It presents a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It also presents specific applications of augmented intelligence in health care, and architectural models and frameworks-based augmented solutions.
001446084 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 2, 2022).
001446084 650_0 $$aArtificial intelligence$$xMedical applications.
001446084 650_0 $$aMachine learning.
001446084 650_6 $$aIntelligence artificielle en médecine.
001446084 650_6 $$aApprentissage automatique.
001446084 655_0 $$aElectronic books.
001446084 7001_ $$aMishra, Sushruta.
001446084 7001_ $$aTripathy, Hrudaya Kumar.
001446084 7001_ $$aMallick, Pradeep.
001446084 7001_ $$aShaalan, Khaled.
001446084 77608 $$iPrint version:$$z9811910758$$z9789811910753$$w(OCoLC)1296401761
001446084 830_0 $$aStudies in computational intelligence ;$$vv. 1024.
001446084 852__ $$bebk
001446084 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-1076-0$$zOnline Access$$91397441.1
001446084 909CO $$ooai:library.usi.edu:1446084$$pGLOBAL_SET
001446084 980__ $$aBIB
001446084 980__ $$aEBOOK
001446084 982__ $$aEbook
001446084 983__ $$aOnline
001446084 994__ $$a92$$bISE