Heart Disease Diagnosis Using Artificial Neural Networks (Record no. 11457)

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control field OSt
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control field 20200306111852.0
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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
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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
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Source of classification or shelving scheme
Koha item type Articles Abstract Database
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Barcode Date last seen Price effective from Koha item type
          School of Engineering & Technology School of Engineering & Technology Archieval Section 2020-03-06 2021125 2020-03-06 2020-03-06 Articles Abstract Database
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