02397    a2200493   4500001001100000005001700011008004200028020002200070037003600092040000700128041000800135072001500143072001500158072001400173072001500187072001500202072001600217072001500233072001300248072001300261072001200274072001300286072001300299072001400312072001300326072002100339072002100360072002100381072002100402072002100423072002100444072001800465100002400483245008300507250000600590260003500596300001000631520114000641700002501781700003001806700003001836700002201866999001501888104030569520250328151419.0250324022025xx        258           eng    a9781040305690qEA  bTaylor & FranciscGBP 49.99fBB  a01  aeng7 aUYQ2thema7 aMQW2thema7 aUB2thema7 aUYF2thema7 aULR2thema7 aTJFM2thema7 aUMZ2thema7 aUYQ2bic7 aMQW2bic7 aUB2bic7 aUYF2bic7 aULR2bic7 aTJFM2bic7 aUMZ2bic7 aCOM0930002bisac7 aCOM0140002bisac7 aCOM0590002bisac7 aCOM0180002bisac7 aCOM0950002bisac7 aCOM0910002bisac7 a006.312bisac1 aP. Mohamed Fathimal10aAdvances of Machine Learning for Knowledge Mining in Electronic Health Records  a1  bChapman and Hall/CRCc20250307  a284 p  bThe book explores the application of cutting-edge machine learning and deep learning algorithms in mining Electronic Health Records (EHR). With the aim of improving patient health management, this book explains the structure of EHR consisting of demographics, medical history, and diagnosis, with a focus on the design and representation of structured, semi-structured, and unstructured data. Explains the design of organized, semi-structured, unstructured, and irregular time series data of electronic health records Covers information extraction, standards for meta-data, reuse of metadata for clinical research, and organized and unstructured data Discusses supervised and unsupervised learning in electronic health records Describes clustering and classification techniques for organized, semi- structured, and unstructured data from electronic health records This book is an essential resource for researchers and professionals in fields like computer science, biomedical engineering, and information technology, seeking to enhance healthcare efficiency, security, and privacy through advanced data analytics and machine learning.1 aT. Ganesh Kumar4B011 aJ. B. Shajilin Loret4B011 aVenkataraman Lakshmi4B011 aManish T. I.4B01  c8004d8004