001484127 000__ 03944cam\\22005537i\4500
001484127 001__ 1484127
001484127 003__ OCoLC
001484127 005__ 20240117003314.0
001484127 006__ m\\\\\o\\d\\\\\\\\
001484127 007__ cr\cn\nnnunnun
001484127 008__ 231117s2023\\\\sz\a\\\\o\\\\\000\0\eng\d
001484127 019__ $$a1407835387
001484127 020__ $$a9783031366789$$q(electronic bk.)
001484127 020__ $$a3031366786$$q(electronic bk.)
001484127 020__ $$z3031366778
001484127 020__ $$z9783031366772
001484127 0247_ $$a10.1007/978-3-031-36678-9$$2doi
001484127 035__ $$aSP(OCoLC)1409590017
001484127 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX
001484127 049__ $$aISEA
001484127 050_4 $$aR859.7.A78
001484127 08204 $$a610.285/63$$223/eng/20231117
001484127 24500 $$aClinical applications of artificial intelligence in real-world data /$$cFolkert W. Asselbergs, Spiros Denaxas, Daniel L. Oberski, Jason H. Moore, editors.
001484127 264_1 $$aCham :$$bSpringer,$$c2023.
001484127 300__ $$a1 online resource (376 pages) :$$billustrations (black and white, and color).
001484127 336__ $$atext$$btxt$$2rdacontent
001484127 337__ $$acomputer$$bc$$2rdamedia
001484127 338__ $$aonline resource$$bcr$$2rdacarrier
001484127 5050_ $$aPart 1: Data Processing, Storage, Regulations -- Biomedical Big Data: Opportunities and Challenges -- Quality Control, Data Cleaning, Imputation -- Data Security And Privacy Issues -- Data Standards and Terminology -- Biomedical Ontologies -- Graph Databases as Future Of Data Storage -- Data Integration, Harmonization -- Natural Language Processing And Text Mining- Turning Unstructured Data Into Structured -- Part 2: Analytics -- Statistical Analysis Statistical Analysis - Causality, Mendelian Randomization -- Statistical Analysis Meta-Analysis/Reproducibility -- Machine Learning Basic Concepts -- Machine Learning Basic Supervised Methods -- Machine Learning Basic Unsupervised Methods -- Machine Learning Evaluation -- Machine Learning Representation Learning/Feature Selection/Engineering -- Machine Learning Interpretation -- Deep Learning Prediction -- Deep Learning Autoencoders -- Artificial Intelligence -- Machine Learning In Practice Clinical Decision Support, Risk Prediction, Diagnosis -- Machine Learning In Practice Evaluation Clinical Value, Guidelines -- Challenges Of Machine Learning and AI.
001484127 506__ $$aAccess limited to authorized users.
001484127 520__ $$aThis book is a thorough and comprehensive guide to the use of modern data science within health care. Critical to this is the use of big data and its analytical potential to obtain clinical insight into issues that would otherwise have been missed and is central to the application of artificial intelligence. It therefore has numerous uses from diagnosis to treatment. Clinical Applications of Artificial Intelligence in Real-World Data is a critical resource for anyone interested in the use and application of data science within medicine, whether that be researchers in medical data science or clinicians looking for insight into the use of these techniques.
001484127 588__ $$aDescription based on print version record.
001484127 650_0 $$aArtificial intelligence$$xMedical applications.$$xMedical applications$$0(DLC)sh 88003000
001484127 650_0 $$aMedicine$$xData processing.$$0(DLC)sh 85000963
001484127 650_0 $$aBig data.$$0(DLC)sh2012003227
001484127 655_0 $$aElectronic books.
001484127 7001_ $$aAsselbergs, Folkert. W.,$$d1976-
001484127 7001_ $$aDenaxas, Spiros,$$eeditor.
001484127 7001_ $$aOberski, Daniel L.$$eeditor.
001484127 7001_ $$aMoore, Jason H.,$$eeditor.
001484127 77608 $$iPrint version:$$tCLINICAL APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN REAL-WORLD DATA.$$d[Place of publication not identified] : SPRINGER INTERNATIONAL PU, 2023$$z3031366778$$w(OCoLC)1381292836
001484127 852__ $$bebk
001484127 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-36678-9$$zOnline Access$$91397441.1
001484127 909CO $$ooai:library.usi.edu:1484127$$pGLOBAL_SET
001484127 980__ $$aBIB
001484127 980__ $$aEBOOK
001484127 982__ $$aEbook
001484127 983__ $$aOnline
001484127 994__ $$a92$$bISE