<?xml version="1.0" encoding="UTF-8"?>
<doi_batch version="4.3.0" xmlns="http://www.crossref.org/doi_resources_schema/4.3.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/doi_resources_schema/4.3.0 http://www.crossref.org/schema/deposit/doi_resources4.3.0.xsd">
<head>
<doi_batch_id>faff27ea-dc87-4b12-9c21-e8837e2eae98</doi_batch_id>
<depositor>
<name>beie</name>
<email_address>director@blueeyesintelligence.org</email_address>
</depositor>
</head>
<body>
<doi_citations>
<doi>10.35940/ijrte.B7189.0711222</doi>
<citation_list><citation key="ref0"><unstructured_citation>World Health Organization 2016 [online], http://www.who.int/cardiovascular_diseases/en/</unstructured_citation></citation><citation key="ref1"><unstructured_citation>Deepali Chandra, &quot;Diagnosis of Heart disease using Data Mining Algorithm&quot; International Journal of Computer Science and Information Technologies, Vol(2), 2014, 1678-1680.</unstructured_citation></citation><citation key="ref2"><unstructured_citation>Hian Cbye Kob et al., &quot;Data mining Applications in Healthcare&quot; Journal of Healthcare Information management-Vol.19, No.2.</unstructured_citation></citation><citation key="ref3"><doi>10.1007/978-1-4419-9326-7</doi><unstructured_citation>Cha Zhang and Yunqian Ma, &quot;Ensemble Machine Learning Methods and Applications&quot;, Springer New York, NY, 2012, https://doi.org/10.1007/978-1-4419-9326-7. [CrossRef]</unstructured_citation></citation><citation key="ref4"><doi>10.1016/j.imu.2019.100203</doi><unstructured_citation>C. Beulah Christalin Latha and S. Carolin Jeeva,&quot; Improving the accuracy of prediction of heart disease risk based on ensemble classification techniques&quot;, Informatics in Medicine Unlocked, Volume 16, 2019, 100203, https://doi.org/10.1016/j.imu.2019.100203. [CrossRef]</unstructured_citation></citation><citation key="ref5"><doi>10.3390/info11040207</doi><unstructured_citation>Asma Baccouche, , Begonya Garcia-Zapirain , Cristian Castillo Olea and Adel Elmaghraby, &quot;Ensemble Deep Learning Models for Heart Disease Classification: A Case Study from Mexico&quot;, Information 2020, 11, 207; doi: 10.3390/info11040207 www.mdpi.com/journal/information. [CrossRef]</unstructured_citation></citation><citation key="ref6"><doi>10.1016/j.imu.2021.100584</doi><unstructured_citation>Mohammed Nasir Uddin, Rajib Kumar Halder, &quot;An ensemble method based multilayer dynamic system to predict cardiovascular disease using machine learning approach&quot;, Informatics in Medicine Unlocked, Volume 24, 2021, 100584, https://doi.org/10.1016/j.imu.2021.100584. [CrossRef]</unstructured_citation></citation></citation_list>
</doi_citations>
</body>
</doi_batch>
