MARC details
| 000 -LEADER |
|---|
| fixed length control field |
04281cam a2200469Ii 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
TR-AnTOB |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20230922153657.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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| fixed length control field |
m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr ||||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
211021s2022 nju ob 001 0 eng |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER |
|---|
| National bibliography number |
GBC273742 |
| Source |
bnb |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781119813040 |
| Qualifying information |
(ebook) |
|
|---|
| International Standard Book Number |
1119813042 |
|
|---|
| International Standard Book Number |
9781119813026 |
| Qualifying information |
(pdf) |
|
|---|
| International Standard Book Number |
1119813026 |
|
|---|
| International Standard Book Number |
9781119813033 |
| Qualifying information |
(epub) |
|
|---|
| International Standard Book Number |
1119813034 |
|
|---|
| Canceled/invalid ISBN |
9781119813019 |
| Qualifying information |
(hardback) |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)1284921103 |
| Canceled/invalid control number |
(OCoLC)1284918016 |
| 037 ## - SOURCE OF ACQUISITION |
|---|
| Stock number |
9781119813033 |
| Source of stock number/acquisition |
Wiley |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
DLC |
| Modifying agency |
OCLCF |
| -- |
OCLCO |
| -- |
DG1 |
| -- |
OCLCO |
| -- |
UKMGB |
| -- |
TR-AnTOB |
| 041 0# - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
İngilizce |
| 060 ## - NATIONAL LIBRARY OF MEDICINE CALL NUMBER |
|---|
| Classification number |
WG 370 |
| 096 ## - LOCALLY ASSIGNED NLM-TYPE CALL NUMBER (OCLC) |
|---|
| Classification number |
WG370 |
| 245 00 - TITLE STATEMENT |
|---|
| Title |
Predicting heart failure : |
| Remainder of title |
invasive, non-invasive,machine learning and artificial intelligence based methods / |
| Statement of responsibility, etc. |
edited by Kishor Kumar Sadasivuni, Qatar University, Doha, Qatar, [and four others] |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Hoboken, NJ : |
| Name of producer, publisher, distributor, manufacturer |
John Wiley & Sons, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2022 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
online resource |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 506 ## - RESTRICTIONS ON ACCESS NOTE |
|---|
| Terms governing access |
Available to OhioLINK libraries |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"Heart diseases are the deadliest disease in the world. There are many diseases in the heart disease category, the most prominent of them is coronary artery disease (CAD) that causes heart attack. CAD, high blood pressure and many other heart diseases cause HF. HF is a consequence of heart disease and the prediction of HF is related to the prediction of diseases in the category of heart disease. In this chapter, the diagnosis of HF is discussed as invasive / non-invasive and artificial intelligence / machine learning techniques. Invasive and non-invasive techniques make a distinction regarding the way the patient is treated. Invasive methods are usually associated with a physical intervention in the body. This intervention involves operations such as taking blood for blood analysis, not pressing strongly on the abdominal area. Non-invasive methods include methods such as physical therapy, blood pressure and temperature measurement. In today's world where information technologies have evolved in every field, the field of health has also received its share. Computer aided clinical decision support systems provide the strongest support to diagnostic studies today. The most important components of computer-aided diagnosis are artificial intelligence and machine learning. Artificial intelligence and machine learning systems offer a wide range of services from the smart assistant application to the use of imaging techniques. Artificial intelligence and machine learning have a healing role in electrocardiography, echocardiography and similar invasive and non-invasive techniques. In the second part of the chapter, HF will be described and its causes, symptoms and treatment will be revealed. The purpose of the third part is to explain the diagnosis by invasive and non-invasive methods. In the fourth chapter, computer aided diagnosis and decision support systems are briefly mentioned. In the fifth chapter, first what artificial intelligence is, then its fields and examples of artificial intelligence supported studies are presented. In the sixth chapter, what machine learning is, learning types, machine learning algorithms and machine learning based diagnostic studies are explained. Studies are summarized at the end of the chapter and diagnostic studies for HF are commented"-- |
| Assigning source |
Provided by publisher |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Heart failure |
| Authority record control number or standard number |
http://id.loc.gov/authorities/subjects/sh85059745 |
| General subdivision |
Risk factors. |
| Authority record control number or standard number |
http://id.loc.gov/authorities/subjects/sh00002541 |
|
|---|
| Topical term or geographic name entry element |
Heart failure |
| Authority record control number or standard number |
http://id.loc.gov/authorities/subjects/sh85059745 |
| General subdivision |
Treatment. |
| Authority record control number or standard number |
http://id.loc.gov/authorities/subjects/sh99005040 |
|
|---|
| Topical term or geographic name entry element |
Heart |
| General subdivision |
Diseases |
| -- |
Patients. |
| Authority record control number or standard number |
http://id.loc.gov/authorities/subjects/sh85020188 |
| 655 #0 - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
Electronic books |
| 9 (RLIN) |
2032 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Sadasivuni, Kishor Kumar, |
| Dates associated with a name |
1986- |
| Authority record control number or standard number |
http://id.loc.gov/authorities/names/n2021058632 |
| Relator term |
author |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Materials specified |
Wiley Online Library |
| Public note |
Connect to resource |
| Uniform Resource Identifier |
<a href="https://onlinelibrary.wiley.com/doi/book/10.1002/9781119813040">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119813040</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
National Library of Medicine |
| Koha item type |
E-Book |
