000 -LEADER |
fixed length control field |
a |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20200306111852.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
200306b xxu||||| |||| 00| 0 eng d |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
AIKTC-KRRC |
Transcribing agency |
AIKTC-KRRC |
100 ## - MAIN ENTRY--PERSONAL NAME |
9 (RLIN) |
12547 |
Author |
Bawani, Hilal Ahmad |
245 ## - TITLE STATEMENT |
Title |
Heart Disease Diagnosis Using Artificial Neural Networks |
250 ## - EDITION STATEMENT |
Volume, Issue number |
Vol.6(3), Sep-Dec |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
New Delhi |
Name of publisher, distributor, etc. |
STM Journals |
Year |
2019 |
300 ## - PHYSICAL DESCRIPTION |
Pagination |
32-36p. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Coronary illness is a term covering any defect of the heart. In contrast to cardiovascular problem, which portrays issues with the veins and circulatory framework just as the heart, coronary illness alludes to issues and deformations in the heart itself. As indicated by the Centers for Disease Control (CDC), coronary illness is the main source of death in the United Kingdom, United States, Canada, and Australia. One of four passing’s in US happens because of coronary illness. It is a treatable malady whenever analyzed at opportune time however that was less conceivable by customary way. So, it needs a superior and effective approach to for determination at beginning period. In this paper a heart disease prediction system based on neural networks with 14 clinical medical features as input to check whether a person suffers from heart disease or not with high accuracy. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
9 (RLIN) |
4622 |
Topical term or geographic name entry element |
Computer Engineering |
700 ## - ADDED ENTRY--PERSONAL NAME |
9 (RLIN) |
12548 |
Co-Author |
Amjad Husain |
773 0# - HOST ITEM ENTRY |
Title |
Journal of artificial intelligence research and advances (JoAIRA) |
Place, publisher, and date of publication |
Noida STM Journals |
856 ## - ELECTRONIC LOCATION AND ACCESS |
URL |
http://computers.stmjournals.com/index.php?journal=JoAIRA&page=article&op=view&path%5B%5D=2317 |
Link text |
Click here |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Koha item type |
Articles Abstract Database |