02304nam 2200529 a 450 991045734150332120200520144314.01-61735-543-7(CKB)2550000000050966(EBL)3315679(SSID)ssj0000620719(PQKBManifestationID)12227739(PQKBTitleCode)TC0000620719(PQKBWorkID)10612667(PQKB)11150757(MiAaPQ)EBC3315679(Au-PeEL)EBL3315679(CaPaEBR)ebr10492945(OCoLC)923176810(EXLCZ)99255000000005096620110714d2011 uy 0engur|n|---|||||txtccrHigher education in development[electronic resource] lessons from sub-Saharan Africa /Kate Ashcroft, Philip RaynerCharlotte, N.C. Information Age Pub.c20111 online resource (301 p.)Description based upon print version of record.1-61735-541-0 Includes bibliographical references and index.""Cover""; ""Half Title""; ""Higher Education in Development""; ""Library of Congress Cataloging-in-Publication Data""; ""Contents""; ""List of Acronyms""; ""Chapter 1: Introduction""; ""Chapter 2: The Context for Higher Education in Sub-Saharan Africa""; ""Chapter 3: Managing Expansion""; ""Chapter 4: Structures and Systems""; ""Chapter 5: Leadership and Governance""; ""Chapter 6: Higher Education Management""; ""Chapter 7: Quality and Standards""; ""Chapter 8: Developing a Curriculum""; ""Chapter 9: Teaching, Learning, and Student Experience""; ""Chapter 10: Research and Community Service""""Chapter 11: Administrative Support Structures""""Chapter 12: Conclusions""; ""Resources""; ""Index""Education, HigherAfrica, Sub-SaharanCase studiesElectronic books.Education, Higher378.00967Ashcroft Kate863074Rayner Philip1947-687888MiAaPQMiAaPQMiAaPQBOOK9910457341503321Higher education in development2254335UNINA02945nam 2200517 450 99654794890331620231018112339.03-031-05071-110.1007/978-3-031-05071-8(CKB)5860000000310963(DE-He213)978-3-031-05071-8(MiAaPQ)EBC30611003(Au-PeEL)EBL30611003(BIP)083732268(PPN)270617248(EXLCZ)99586000000031096320231018d2023 uy 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierAI and Big Data in Cardiology A Practical Guide /edited by Nicolas Duchateau and Andrew P. KingFirst edition.Cham, Switzerland :Springer,[2023]©20231 online resource (IX, 216 p. 56 illus., 55 illus. in color.) 3-031-05070-3 Introduction -- 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.This 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.Artificial intelligenceMedical applicationsBig dataInternal MedicineMedicalArtificial intelligenceMedical applications.Big data.060Duchateau NicolasKing Andrew P.MiAaPQMiAaPQMiAaPQBOOK996547948903316AI and Big Data in Cardiology3561210UNISA