LEADER 05382nam 22007095 450 001 9910564698903321 005 20251113200429.0 010 $a981-19-1076-6 024 7 $a10.1007/978-981-19-1076-0 035 $a(MiAaPQ)EBC6955412 035 $a(Au-PeEL)EBL6955412 035 $a(CKB)21560739000041 035 $a(OCoLC)1312160314 035 $a(PPN)262167808 035 $a(DE-He213)978-981-19-1076-0 035 $a(EXLCZ)9921560739000041 100 $a20220419d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAugmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis /$fedited by Sushruta Mishra, Hrudaya Kumar Tripathy, Pradeep Mallick, Khaled Shaalan 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (503 pages) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v1024 311 08$aPrint version: Mishra, Sushruta Augmented Intelligence in Healthcare: a Pragmatic and Integrated Analysis Singapore : Springer,c2022 9789811910753 327 $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 Mentalhealthcare: 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 Naïve Bayes Classification Algorithm -- Chapter 25. A Comprehensive Study of Explainable Artificial Intelligence In Healthcare. 330 $aThe book discusses how augmented intelligence can increase the efficiency and speed of diagnosis in healthcare organizations. The concept of augmented intelligence can reflect the enhanced capabilities of human decision-making in clinical settings when augmented with computation systems and methods. It includes real-life case studies highlighting impact of augmented intelligence in health care. The book offers a guided tour of computational intelligence algorithms, architecture design, and applications of learning in healthcare challenges. It presents a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It also presents specific applications of augmented intelligence in health care, and architectural models and frameworks-based augmented solutions. 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v1024 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aVirtual reality 606 $aAugmented reality 606 $aBig data 606 $aMedical informatics 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aVirtual and Augmented Reality 606 $aBig Data 606 $aHealth Informatics 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aVirtual reality. 615 0$aAugmented reality. 615 0$aBig data. 615 0$aMedical informatics. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aVirtual and Augmented Reality. 615 24$aBig Data. 615 24$aHealth Informatics. 676 $a610.28563 702 $aMishra$b Sushruta 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910564698903321 996 $aAugmented intelligence in healthcare$92966647 997 $aUNINA