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000922403 020__ $$a9783030244095$$q(electronic book)
000922403 020__ $$a3030244091$$q(electronic book)
000922403 020__ $$z9783030244088
000922403 0247_ $$a10.1007/978-3-030-24409-5$$2doi
000922403 035__ $$aSP(OCoLC)on1114330779
000922403 035__ $$aSP(OCoLC)1114330779
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000922403 049__ $$aISEA
000922403 050_4 $$aR859.7.A78
000922403 08204 $$a610.28563$$223
000922403 24500 $$aPrecision health and medicine :$$ba digital revolution in healthcare /$$cArash Shaban-Nejad, Martin Michalowski, editors.
000922403 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2020]
000922403 300__ $$a1 online resource (xix, 197 pages) :$$billustrations.
000922403 336__ $$atext$$btxt$$2rdacontent
000922403 337__ $$acomputer$$bc$$2rdamedia
000922403 338__ $$aonline resource$$bcr$$2rdacarrier
000922403 4901_ $$aStudies in computational intelligence,$$x1860-949X ;$$vvolume 843
000922403 500__ $$aPapers presented at the 2019 Health Intelligence Workshop, which was jointly held with the Association for the Advancement of Artificial Intelligence (AIII) annual conference.
000922403 504__ $$aIncludes bibliographical references.
000922403 5050_ $$aPreface -- Chapter 1. From Precision Medicine to Precision Health: A Full Angle from Diagnosis to Treatment and Prevention -- Chapter 2. Constructing Accurate Confidence Intervals when Aggregating Social Media Data for Public Health Monitoring -- Chapter 3. MCA-based Rule Mining Enables Interpretable Inference in Clinical Psychiatry -- Chapter 4. Automatic Exercise Recognition with Machine Learning, etc.
000922403 506__ $$aAccess limited to authorized users.
000922403 520__ $$aThis book highlights the latest advances in the application of artificial intelligence to healthcare and medicine. It gathers selected papers presented at the 2019 Health Intelligence workshop, which was jointly held with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the central issues, challenges, and potential opportunities in the field, along with new research results. By addressing a wide range of practical applications, the book makes the emerging topics of digital health and precision medicine accessible to a broad readership. Further, it offers an essential source of information for scientists, researchers, students, industry professionals, national and international public health agencies, and NGOs interested in the theory and practice of digital and precision medicine and health, with an emphasis on risk factors in connection with disease prevention, diagnosis, and intervention.
000922403 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 29, 2019).
000922403 650_0 $$aArtificial intelligence$$xMedical applications$$vCongresses.
000922403 650_0 $$aPersonalized medicine$$vCongresses.
000922403 7001_ $$aShaban-Nejad, Arash,$$eeditor.
000922403 7001_ $$aMichalowski, Martin,$$eeditor.
000922403 7112_ $$aHealth Intelligence Workshop$$d(2019)
000922403 7112_ $$aAAAI Conference on Artificial Intelligence$$d(2019)
000922403 830_0 $$aStudies in computational intelligence ;$$vv. 843.
000922403 852__ $$bebk
000922403 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-24409-5$$zOnline Access$$91397441.1
000922403 909CO $$ooai:library.usi.edu:922403$$pGLOBAL_SET
000922403 980__ $$aEBOOK
000922403 980__ $$aBIB
000922403 982__ $$aEbook
000922403 983__ $$aOnline
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