Machine learning in medicine - a complete overview / (Record no. 604222)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02743cam a22002895i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 18441767 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | US-DLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250507120656.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 150108s2015 nyu 000 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2015930334 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783030339722 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | au |
| Language of cataloging | eng |
| Transcribing agency | au |
| Description conventions | rda |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | pcc |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | Alfaisal Main Library |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | R859.7 |
| Item number | .A78 C54 2021 |
| 245 00 - TITLE STATEMENT | |
| Title | Machine learning in medicine - a complete overview / |
| Statement of responsibility, etc | [edited by] Ton J.Cleophas. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Date of publication, distribution, etc | 2021 |
| 263 ## - PROJECTED PUBLICATION DATE | |
| Projected publication date | 1504 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS | |
| Place of production, publication, distribution, manufacture | New York, NY : |
| Name of producer, publisher, distributor, manufacturer | Springer Berlin Heidelberg, |
| Date of production, publication, distribution, manufacture | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 644 pages cm |
| 336 ## - CONTENT TYPE | |
| Content Type Term | text |
| Content Type Code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media Type Term | unmediated |
| Media Type Code | n |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier Type Term | volume |
| Carrier Type Code | nc |
| Source | rdacarrier |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Adequate health and health care is no longer possible without proper data supervision from modern machine learning methodologies like cluster models, neural networks, and other data mining methodologies. The current book is the first publication of a complete overview of machine learning methodologies for the medical and health sector, and it was written as a training companion, and as a must-read, not only for physicians and students, but also for any one involved in the process and progress of health and health care. In this second edition the authors have removed the textual errors from the first edition. Also, the improved tables from the first edition, have been replaced with the original tables from the software programs as applied. This is, because, unlike the former, the latter were without error, and readers were better familiar with them. The main purpose of the first edition was, to provide stepwise analyses of the novel methods from data examples, but background information and clinical relevance information may have been somewhat lacking. Therefore, each chapter now contains a section entitled "Background Information". Machine learning may be more informative, and may provide better sensitivity of testing than traditional analytic methods may do. In the second edition a place has been given for the use of machine learning not only to the analysis of observational clinical data, but also to that of controlled clinical trials. Unlike the first edition, the second edition has drawings in full color providing a helpful extra dimension to the data analysis. Several machine learning methodologies not yet covered in the first edition, but increasingly important today, have been included in this updated edition, for example, negative binomial and Poisson regressions, sparse canonical analysis, Firth's bias adjusted logistic analysis, omics research, eigenvalues and eigenvectors. -- Provided by publisher |
| 655 #0 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Print books. |
| Source of term | local |
| 9 (RLIN) | 4 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Koha item type | BOOKS |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | Alfaisal University | Alfaisal University | On Shelf | 2025-05-08 | R859.7 .A78 C54 2021 | AU00000000020726 | 2025-05-08 | 855.00 | 2025-05-08 | BOOKS |