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001480938 019__ $$a1396974728$$a1397573591
001480938 020__ $$a9783031380365$$q(electronic bk.)
001480938 020__ $$a3031380363$$q(electronic bk.)
001480938 020__ $$z9783031380358
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001480938 0247_ $$a10.1007/978-3-031-38036-5$$2doi
001480938 035__ $$aSP(OCoLC)1398230846
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001480938 050_4 $$aR859.7.A78
001480938 08204 $$a610.285/63$$223/eng/20230919
001480938 24500 $$aExplainable machine learning for multimedia based healthcare applications /$$cM. Shamim Hossain, Utku Kose, Deepak Gupta, editors.
001480938 264_1 $$aCham :$$bSpringer,$$c2023.
001480938 300__ $$a1 online resource (xiv, 233 pages)
001480938 336__ $$atext$$btxt$$2rdacontent
001480938 337__ $$acomputer$$bc$$2rdamedia
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001480938 5050_ $$aForeword -- Preface -- Acknowledgement -- Table of Contents -- Chapter 1: -- Automatic Fetal Motion Detection from Trajectory of US Videos Based on YOLOv5 and LSTM -- Chapter 2: -- Explainable Machine Learning (XML) for Multimedia-based Healthcare Systems: Opportunities, Challenges, Ethical and Future Prospects -- Chapter 3: -- Ensemble deep learning architectures in bone cancer detection based on Medical Diagnosis in Explainable Artificial Intelligence -- Chapter 4: -- Digital dermatitis disease classification utilizing visual feature extraction and various machine learning techniques by explainable AI -- Chapter 5: -- Explainable Machine Learning in Healthcare -- Chapter 6: -- Explainable Artificial Intelligence with Scaling Techniques to Classify Breast Cancer Images -- Chapter 7: -- A Novel Approach of COVID -19 Estimation Using GIS and Kmeans Clustering: A Case of GEOAI -- Chapter 8: -- A Brief Review of Explainable Artificial Intelligence Reviews and Methods -- Chapter 9: -- Systematic Literature Review In Using Big Data Analytics And XAI Applications In Medical -- Chapter 10: -- Using Explainable Artificial Intelligence In Drug Discovery: A Theoretical Research -- Chapter 11: -- Application of Interpretable Artificial Intelligence enabled Cognitive Internet of Things for COVID-19 Pandemics -- Chapter 12: -- Remote Photoplethysmography: Digital Disruption in Health Vital Acquisition.
001480938 506__ $$aAccess limited to authorized users.
001480938 520__ $$aThis book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for applied research efforts but also theoretical touches and discussions targeting open problems as well as future insights. In detail, a comprehensive topic coverage is ensured by focusing on remarkable healthcare problems solved with Artificial Intelligence. Because today's conditions in medical data processing are often associated with multimedia, the book considers research studies with especially multimedia data processing.
001480938 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 19, 2023).
001480938 650_0 $$aArtificial intelligence$$xMedical applications.$$xMedical applications$$0(DLC)sh 88003000
001480938 655_0 $$aElectronic books.
001480938 7001_ $$aHossain, M. Shamim,$$eeditor.
001480938 7001_ $$aKose, Utku,$$d1985-$$eeditor.
001480938 7001_ $$aGupta, Deepak,$$cPh.D.,$$eeditor.
001480938 77608 $$iPrint version:$$aHossain, M. Shamim$$tExplainable Machine Learning for Multimedia Based Healthcare Applications$$dCham : Springer International Publishing AG,c2023$$z9783031380358
001480938 852__ $$bebk
001480938 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-38036-5$$zOnline Access$$91397441.1
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001480938 980__ $$aBIB
001480938 980__ $$aEBOOK
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001480938 983__ $$aOnline
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