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Towards Automated Diagnosis of Heart Diseases: A Study of Machine Learning Techniques

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Bibliographic Details
Published in:International Journal of Engineering and Manufacturing
Format: Online Article RSS Article
Published: 2026
Subjects:
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container_title International Journal of Engineering and Manufacturing
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:12665
institution FRELIP
journal_source_facet International Journal of Engineering and Manufacturing
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Towards Automated Diagnosis of Heart Diseases: A Study of Machine Learning Techniques
Manufacturing and Technology
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Manufacturing and Technology
Technology & Engineering — Computing
Technology & Engineering
Manufacturing and Technology
Technology & Engineering — Computing
Technology & Engineering
subject_facet Manufacturing and Technology
Technology & Engineering — Computing
Technology & Engineering
title Towards Automated Diagnosis of Heart Diseases: A Study of Machine Learning Techniques
title_auth Towards Automated Diagnosis of Heart Diseases: A Study of Machine Learning Techniques
title_full Towards Automated Diagnosis of Heart Diseases: A Study of Machine Learning Techniques
title_fullStr Towards Automated Diagnosis of Heart Diseases: A Study of Machine Learning Techniques
title_full_unstemmed Towards Automated Diagnosis of Heart Diseases: A Study of Machine Learning Techniques
title_short Towards Automated Diagnosis of Heart Diseases: A Study of Machine Learning Techniques
title_sort towards automated diagnosis of heart diseases: a study of machine learning techniques
topic Manufacturing and Technology
Technology & Engineering — Computing
Technology & Engineering
url https://www.mecs-press.org/ijem/ijem-v16-n2/v16n2-9.html