Advances of Machine Learning for Knowledge Mining in Electronic Health Records (Record no. 8006)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02397 a2200493 4500 |
| 001 - CONTROL NUMBER | |
| control field | 1040305741 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250328151419.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250324022025xx 258 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781040305744 |
| Qualifying information | EA |
| 037 ## - SOURCE OF ACQUISITION | |
| Source of stock number/acquisition | Taylor & Francis |
| Terms of availability | GBP 49.99 |
| Form of issue | BB |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | 01 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | UYQ |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | MQW |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | UB |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | UYF |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | ULR |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TJFM |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | UMZ |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | UYQ |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | MQW |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | UB |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | UYF |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | ULR |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TJFM |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | UMZ |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | COM093000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | COM014000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | COM059000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | COM018000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | COM095000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | COM091000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | 006.31 |
| Source | bisac |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | P. Mohamed Fathimal |
| 245 10 - TITLE STATEMENT | |
| Title | Advances of Machine Learning for Knowledge Mining in Electronic Health Records |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Name of publisher, distributor, etc. | Chapman and Hall/CRC |
| Date of publication, distribution, etc. | 20250307 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 284 p |
| 520 ## - SUMMARY, ETC. | |
| Expansion of summary note | The 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. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | T. Ganesh Kumar |
| Relationship | B01 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | J. B. Shajilin Loret |
| Relationship | B01 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Venkataraman Lakshmi |
| Relationship | B01 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Manish T. I. |
| Relationship | B01 |
No items available.