001453052 000__ 03662cam\a2200601\i\4500 001453052 001__ 1453052 001453052 003__ OCoLC 001453052 005__ 20230314003331.0 001453052 006__ m\\\\\o\\d\\\\\\\\ 001453052 007__ cr\cn\nnnunnun 001453052 008__ 221012s2023\\\\sz\a\\\\ob\\\\000\0\eng\d 001453052 019__ $$a1346529782$$a1347025210 001453052 020__ $$a9783031111709$$q(electronic bk.) 001453052 020__ $$a3031111702$$q(electronic bk.) 001453052 020__ $$z9783031111693 001453052 020__ $$z3031111699 001453052 0247_ $$a10.1007/978-3-031-11170-9$$2doi 001453052 035__ $$aSP(OCoLC)1347271293 001453052 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dOCLCF$$dOCLCQ 001453052 049__ $$aISEA 001453052 050_4 $$aR859.7.A78 001453052 08204 $$a610.2856/3$$223/eng/20221012 001453052 24500 $$aArtificial intelligence and machine learning for healthcare.$$nVol. 2,$$pEmerging methodologies and trends /$$cChee Peng Lim, Ashlesha Vaidya, Yen-Wei Chen, Vaishnavi Jain, Lakhmi C. Jain, editors. 001453052 24630 $$aEmerging methodologies and trends 001453052 264_1 $$aCham :$$bSpringer,$$c[2023] 001453052 300__ $$a1 online resource (1 volume) :$$billustrations (black and white, and color). 001453052 336__ $$atext$$btxt$$2rdacontent 001453052 337__ $$acomputer$$bc$$2rdamedia 001453052 338__ $$aonline resource$$bcr$$2rdacarrier 001453052 4901_ $$aIntelligent systems reference library ;$$vvolume 229 001453052 504__ $$aIncludes bibliographical references. 001453052 5050_ $$aArtificial Intelligence for the future of medicine -- A Survival Analysis Guide in Oncology -- Social Media Sentiment Analysis related to COVID-19 Vaccinations -- Healthcare support using data mining: A case study on stroke prediction. . 001453052 506__ $$aAccess limited to authorized users. 001453052 520__ $$aIn line with advances in digital and computing systems, artificial intelligence (AI) and machine learning (ML) technologies have transformed many aspects of medical and healthcare services, delivering tangible benefits to patents and the general public. This book is a sequel of the edition on "Artificial Intelligence and Machine Learning for Healthcare". The first volume is focused on utilization of AI and ML for image and data analytics in the medical and healthcare domains. In this second volume, emerging methodologies and future trends in AI and ML for advancing medical treatments and healthcare services are presented. The selected studies in this book provide readers a glimpse on current progresses in AI and ML for undertaking a variety of healthcare-related tasks. The advances in AI and ML technologies for future healthcare are also discussed, shedding light on the potential of AI and ML to realize the next-generation medical treatments and healthcare services for the betterment of our global society. 001453052 588__ $$aDescription based on print version record. 001453052 650_0 $$aArtificial intelligence$$xMedical applications. 001453052 650_0 $$aMedical care$$xData processing. 001453052 650_0 $$aMedical informatics. 001453052 650_0 $$aMachine learning. 001453052 655_0 $$aElectronic books. 001453052 7001_ $$aLim, Chee Peng,$$eeditor. 001453052 7001_ $$aVaidya, Ashlesha,$$eeditor. 001453052 7001_ $$aChen, Yen-Wei,$$eeditor. 001453052 7001_ $$aJain, Vaishnavi,$$eeditor. 001453052 7001_ $$aJain, L. C.,$$eeditor.$$1https://isni.org/isni/0000000114505286 001453052 77608 $$iPrint version:$$tArtificial intelligence and machine learning for healthcare. Vol. 2, Emerging methodologies and trends.$$dCham : Springer, 2022$$z9783031111693$$w(OCoLC)1338670216 001453052 830_0 $$aIntelligent systems reference library ;$$vv. 229. 001453052 852__ $$bebk 001453052 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-11170-9$$zOnline Access$$91397441.1 001453052 909CO $$ooai:library.usi.edu:1453052$$pGLOBAL_SET 001453052 980__ $$aBIB 001453052 980__ $$aEBOOK 001453052 982__ $$aEbook 001453052 983__ $$aOnline 001453052 994__ $$a92$$bISE