| Tag |
First Indicator |
Second Indicator |
Subfields |
| LEADER |
00000cam a2200000 i 4500 |
| 001 |
in00005773344 |
| 005 |
20260327175933.6 |
| 006 |
m o d |
| 007 |
cr cnu---unuuu |
| 008 |
240509s2024 enk o 001 0 eng d |
| 040 |
|
|
|a OPELS
|b eng
|e rda
|e pn
|c OPELS
|d OCLCA
|
| 020 |
|
|
|z 9780443218897
|
| 035 |
|
|
|a (OCoLC)1433098196
|
| 050 |
|
4 |
|a R859.7.A78
|
| 082 |
0 |
4 |
|a 610.285/63
|2 23/eng/20240509
|
| 049 |
|
|
|a TXAM
|
| 245 |
0 |
0 |
|a Artificial intelligence and machine learning for women's health issues /
|c edited by Meenu Gupta, D. Jude Hemanth.
|
| 264 |
|
1 |
|a London :
|b Academic Press,
|c 2024.
|
| 300 |
|
|
|a 1 online resource.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 520 |
|
|
|a Artificial Intelligence and Machine Learning for Women's Health Issues discusses the applications, challenges, and solutions that machine learning can bring to women's health challenges. The book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning which enhance the future healthcare system. This book's primary focus is on women's health issues and machine learning's role in providing solutions to these challenges, providing novel ideas for feasible implementation. It also provides an early-stage analysis for early diagnosis of women's health issues.
|
| 500 |
|
|
|a Includes index.
|
| 588 |
0 |
|
|a Online resource; title from PDF title page (ScienceDirect, viewed May 9, 2024).
|
| 650 |
|
0 |
|a Artificial intelligence
|x Medical applications.
|
| 650 |
|
0 |
|a Women's health services.
|
| 655 |
|
7 |
|a Electronic books.
|2 local
|
| 700 |
1 |
|
|a Gupta, Meenu
|c (Professor of computer science),
|e editor.
|
| 700 |
1 |
|
|a Hemanth, D. Jude,
|e editor.
|
| 710 |
2 |
|
|a ScienceDirect (Online service)
|
| 856 |
4 |
0 |
|u http://proxy.library.tamu.edu/login?url=https://www.sciencedirect.com/science/book/9780443218897
|z Connect to the full text of this electronic book
|t 0
|
| 955 |
|
|
|a Elsevier ScienceDirect 2026-2027
|
| 994 |
|
|
|a 92
|b TXA
|
| 999 |
f |
f |
|i 1623f67a-15ee-4eb3-b7cc-364555abd3d7
|s 6838c888-d8fc-4db9-a873-de25483bfc96
|t 0
|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|s www_evans
|d Available Online
|t 0
|e R859.7.A78
|h Library of Congress classification
|
| 998 |
f |
f |
|a R859.7.A78
|t 0
|l Available Online
|