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<doi_batch_id>-4d90550d17f4602e089-2e46</doi_batch_id>
<timestamp>20220507032202142</timestamp>
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  <email_address>director@blueeyesintelligence.org</email_address>
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<journal_metadata>   <full_title>International Journal of Recent Technology and Engineering (IJRTE)</full_title>   <abbrev_title>IJRTE</abbrev_title>   <issn media_type='electronic'>22773878</issn>   <doi_data>     <doi>10.35940/ijrte.2277-3878</doi>     <resource>https://www.ijrte.org/</resource>   </doi_data> </journal_metadata> <journal_issue>  <publication_date media_type='online'>     <month>05</month>     <day>30</day>     <year>2022</year>   </publication_date>   <journal_volume>     <volume>11</volume>   </journal_volume>   <issue>1</issue> </journal_issue><!-- ============== --> <journal_article publication_type='full_text'>   <titles>     <title>Early Prediction of Cardiac Disease using Expert Systems</title>   </titles>   <contributors>      <organization sequence='first' contributor_role='author'>Student, Department of Computer Science, Krishna College of Engineering and Technology, Kuniyamuthur (Tamil Nadu), India.</organization>    <person_name sequence='first' contributor_role='author'>      <given_name>Ajaay Krishna</given_name>      <surname>P</surname>    </person_name>    <person_name sequence='additional' contributor_role='author'>       <given_name>Akhilesh</given_name>       <surname>R</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Student, Department of Computer Science, Krishna College of Engineering and Technology, Kuniyamuthur (Tamil Nadu), India.</organization>     <person_name sequence='additional' contributor_role='author'>       <given_name>Aravind</given_name>       <surname>C J</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Student, Department of Computer Science, Krishna College of Engineering and Technology, Kuniyamuthur (Tamil Nadu), India.</organization>     <person_name sequence='additional' contributor_role='author'>       <given_name>Dr. K Rama</given_name>       <surname>Abirami</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Ph.D, Associate Professor, Department of Computer Science, Krishna College of Engineering and Technology, Kuniyamuthur (Tamil Nadu), India.</organization>   </contributors>    <jats:abstract xml:lang='en'>         <jats:p>Machine learning is effective in helping and making selections from the high volumes of data created by the healthcare business. In this work, completely different classification algorithms are applied with their own advantage on separate databases of malady accessible for disease prediction. The results of the study strengthen by using Artificial Intelligence in the early detection of diseases and this will increase the survival rate of patients considerably. The motivation of this paper is to develop efficacious treatment of data processing techniques that will facilitate remedial things. Data processing classification algorithms are used to diagnose heart diseases.</jats:p>     </jats:abstract>  <publication_date media_type='online'>     <month>05</month>     <day>30</day>     <year>2022</year>   </publication_date>   <pages>     <first_page>140</first_page>     <last_page>145</last_page>   </pages>   <crossmark>     <crossmark_version>CC BY-NC-ND 4.0</crossmark_version>     <crossmark_policy>10.35940/BEIESP.CrossMarkPolicy</crossmark_policy>     <crossmark_domains>       <crossmark_domain>          <domain>www.ijrte.org</domain>       </crossmark_domain>     </crossmark_domains>     <crossmark_domain_exclusive>true</crossmark_domain_exclusive>   </crossmark>   <doi_data>     <doi>10.35940/ijrte.A6981.0511122</doi>     <resource>https://www.ijrte.org/portfolio-item/a69810511122/</resource>   </doi_data> </journal_article>
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