LEADER 02947nam 2200517 450 001 9910720085703321 005 20231018112339.0 010 $a3-031-05071-1 024 7 $a10.1007/978-3-031-05071-8 035 $a(CKB)5860000000310963 035 $a(DE-He213)978-3-031-05071-8 035 $a(MiAaPQ)EBC30611003 035 $a(Au-PeEL)EBL30611003 035 $a(BIP)083732268 035 $a(PPN)270617248 035 $a(EXLCZ)995860000000310963 100 $a20231018d2023 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAI and Big Data in Cardiology $eA Practical Guide /$fedited by Nicolas Duchateau and Andrew P. King 205 $aFirst edition. 210 1$aCham, Switzerland :$cSpringer,$d[2023] 210 4$dİ2023 215 $a1 online resource (IX, 216 p. 56 illus., 55 illus. in color.) 311 $a3-031-05070-3 327 $aIntroduction -- AI and Machine Learning: the Basics -- From Machine Learning to Deep Learning -- Measurement and Quantification -- Diagnosis -- Outcome Prediction -- Quality Control -- AI and Decision Support -- AI in the Real World -- Analysis of Non-imaging Data -- Conclusions. 330 $aThis book provides a detailed technical overview of the use and applications of artificial intelligence (AI), machine learning and big data in cardiology. Recent technological advancements in these fields mean that there is significant gain to be had in applying these methodologies into day-to-day clinical practice. Chapters feature detailed technical reviews and highlight key current challenges and limitations, along with the available techniques to address them for each topic covered. Sample data sets are also included to provide hands-on tutorials for readers using Python-based Jupyter notebooks, and are based upon real-world examples to ensure the reader can develop their confidence in applying these techniques to solve everyday clinical problems. Artificial Intelligence and Big Data in Cardiology systematically describes and technically reviews the latest applications of AI and big data within cardiology. It is ideal for use by the trainee and practicing cardiologist and informatician seeking an up-to-date resource on the topic with which to aid them in developing a thorough understanding of both basic concepts and recent advances in the field. 606 $aArtificial intelligence$xMedical applications 606 $aBig data 610 $aInternal Medicine 610 $aMedical 615 0$aArtificial intelligence$xMedical applications. 615 0$aBig data. 676 $a060 702 $aDuchateau$b Nicolas 702 $aKing$b Andrew P. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910720085703321 996 $aAI and Big Data in Cardiology$93561210 997 $aUNINA