001445855 000__ 03449cam\a2200565Ii\4500
001445855 001__ 1445855
001445855 003__ OCoLC
001445855 005__ 20230310003854.0
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001445855 008__ 220412s2022\\\\si\a\\\\o\\\\\000\0\eng\d
001445855 020__ $$a9789811914768$$q(electronic bk.)
001445855 020__ $$a9811914761$$q(electronic bk.)
001445855 020__ $$z9789811914751
001445855 020__ $$z9811914753
001445855 0247_ $$a10.1007/978-981-19-1476-8$$2doi
001445855 035__ $$aSP(OCoLC)1310487360
001445855 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dN$T$$dUKAHL$$dOCLCQ
001445855 049__ $$aISEA
001445855 050_4 $$aR857.D34$$bB56 2022
001445855 08204 $$a610.285/63$$223
001445855 24500 $$aBiomedical data analysis and processing using explainable (XAI) and responsive artificial intelligence (RAI) /$$cAditya Khamparia, Deepak Gupta, Ashish Khanna, Valentina E. Balas, editors.
001445855 264_1 $$aSingapore :$$bSpringer,$$c[2022]
001445855 264_4 $$c©2022
001445855 300__ $$a1 online resource :$$billustrations (some color).
001445855 336__ $$atext$$btxt$$2rdacontent
001445855 337__ $$acomputer$$bc$$2rdamedia
001445855 338__ $$aonline resource$$bcr$$2rdacarrier
001445855 4901_ $$aIntelligent systems reference library ;$$vvolume 222
001445855 5050_ $$aOptimal Boosting Label Weighting Extreme Learning Machine for Mental Disorder Prediction and Classification -- Modeling of Explainable Artificial Intelligence with Correlation based Feature Selection Approach for Biomedical Data Analysis -- Explainable machine learning model for diagnosis of Parkinson disorder -- Explainable Artificial Intelligence with Metaheuristic Feature Selection Technique for Biomedical Data Classification -- Explainable AI in Neural Networks using Shapley Values -- Design of Multimodal Fusion based Deep Learning Approach for COVID-19 Diagnosis using Chest X-Ray Images.
001445855 506__ $$aAccess limited to authorized users.
001445855 520__ $$aThe book discusses Explainable (XAI) and Responsive Artificial Intelligence (RAI) for biomedical and healthcare applications. It will discuss the advantages in dealing with big and complex data by using explainable AI concepts in the field of biomedical sciences. The book explains both positive as well as negative findings obtained by explainable AI techniques. It features real time experiences by physicians and medical staff for applied deep learning based solutions. The book will be extremely useful for researchers and practitioners in advancing their studies.
001445855 588__ $$aDescription based on print version record.
001445855 650_0 $$aBiomedical engineering$$xData processing.
001445855 650_0 $$aArtificial intelligence.
001445855 650_6 $$aGénie biomédical$$xInformatique.
001445855 650_6 $$aIntelligence artificielle.
001445855 655_0 $$aElectronic books.
001445855 7001_ $$aKhamparia, Aditya,$$d1988-$$eeditor.
001445855 7001_ $$aGupta, Deepak,$$cPh.D.,$$eeditor.
001445855 7001_ $$aKhanna, Ashish$$c(Of Guru Gobind Singh Indraprastha University),$$eeditor.
001445855 7001_ $$aBalas, Valentina Emilia,$$eeditor.
001445855 77608 $$iPrint version:$$tBiomedical data analysis and processing using explainable (XAI) and responsive artificial intelligence (RAI).$$dSingapore : Springer, 2022$$z9789811914751$$w(OCoLC)1308478294
001445855 830_0 $$aIntelligent systems reference library ;$$vv. 222.
001445855 852__ $$bebk
001445855 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-1476-8$$zOnline Access$$91397441.1
001445855 909CO $$ooai:library.usi.edu:1445855$$pGLOBAL_SET
001445855 980__ $$aBIB
001445855 980__ $$aEBOOK
001445855 982__ $$aEbook
001445855 983__ $$aOnline
001445855 994__ $$a92$$bISE