<?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>eaa7a87f-ddeb-462c-89fb-48fe89bdb66b</doi_batch_id>
<depositor>
<name>beie</name>
<email_address>director@blueeyesintelligence.org</email_address>
</depositor>
</head>
<body>
<doi_citations>
<doi>10.35940/ijrte.F5507.039621</doi>
<citation_list><citation key="ref0"><doi>10.1016/j.jbi.2016.10.008</doi><unstructured_citation>Simon Kocbek , Lawrence Cavedon David Martinez et al.,Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources Journal of Biomedical Informatics 64 (2016) 158-167.</unstructured_citation></citation><citation key="ref1"><unstructured_citation>https://downloads.healthcatalyst.com/wp-content/uploads/2014/05/Healthcare-Data-Mining.pdf</unstructured_citation></citation><citation key="ref2"><unstructured_citation>https://blog.statsbot.co/ensemble-learning-d1dcd548e936</unstructured_citation></citation><citation key="ref3"><unstructured_citation>https://towardsdatascience.com/advanced-ensemble-classifiers-8d7372e74e40</unstructured_citation></citation><citation key="ref4"><unstructured_citation>https://www.healthcatalyst.com/data-mining-in-healthcare</unstructured_citation></citation><citation key="ref5"><unstructured_citation>https://www.usfhealthonline.com/resources/key-concepts/data-mining-in-healthcare/</unstructured_citation></citation><citation key="ref6"><unstructured_citation>https://en.wikipedia.org/wiki/Text_mining</unstructured_citation></citation><citation key="ref7"><unstructured_citation>https://en.wikipedia.org/wiki/Machine_learning</unstructured_citation></citation><citation key="ref8"><unstructured_citation>https://www.geeksforgeeks.org/ensemble-classifier-data-mining/</unstructured_citation></citation><citation key="ref9"><doi>10.1016/j.compag.2016.03.026</doi><unstructured_citation>A hybrid ensemble for classification in multiclass datasets: An application to oilseed disease dataset, Computers and Electronics in Agriculture , Volume 124, June 2016, Pages 65-72</unstructured_citation></citation><citation key="ref10"><unstructured_citation>https://www.hindawi.com/journals/misy/2018/3860146/</unstructured_citation></citation><citation key="ref11"><unstructured_citation>Zhihua Wei, Duoqian Miao, Jean-Hugues Chauchat, and Caiming Zhong, &quot;Feature Selection based on Chinese Text Classification Using Character N -Grams , Lecture Notes in Computer Science, Publication Date: 2008</unstructured_citation></citation><citation key="ref12"><unstructured_citation>Cha Yang Jun Wen , &quot;Text Categorization Based on a Similarity Approach&quot;,Sruthi</unstructured_citation></citation><citation key="ref13"><doi>10.1016/j.ins.2008.05.025</doi><unstructured_citation>Partalas, I., Tsoumakas, G., Hatzikos, E. V, &amp; Vlahavas, I. (2008). Greedy regression ensemble selection : Theory and an application to water quality prediction. Information Sciences Journal, 178, 3867-3879. https://doi.org/10.1016/j.ins.2008.05.025</unstructured_citation></citation><citation key="ref14"><journal_title>BMC Bioinformatics 9 275</journal_title><author>Ge</author><cYear>2008</cYear><doi>10.1186/1471-2105-9-275</doi><article_title>Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles</article_title><unstructured_citation>Ge, G., &amp; Wong, G. W. (2008). Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles. BMC Bioinformatics, 9, 275.</unstructured_citation></citation><citation key="ref15"><unstructured_citation>An Improved k-Nearest Neighbor Algorithm for Text Categorization1, Li Baoli1, Yu Shiwen1, and Lu Qin2 https://arxiv.org/ftp/cs/papers/0306/0306099.pdf KNN https://arxiv.org/abs/cs/0306099</unstructured_citation></citation><citation key="ref16"><unstructured_citation>https://towardsdatascience.com/knn-k-nearest-neighbors-1-a4707b24bd1d</unstructured_citation></citation><citation key="ref17"><unstructured_citation>http://rasbt.github.io/mlxtend/user_guide/classifier/EnsembleVoteClassifier/</unstructured_citation></citation><citation key="ref18"><unstructured_citation>https://www.researchgate.net/publication/220980101_An_Improved_Algorithm_Finding_Nearest_Neighbor_Using_Kd-trees</unstructured_citation></citation></citation_list>
</doi_citations>
</body>
</doi_batch>
