<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>Health Science Monitor</title>
<title_fa>Health Science Monitor</title_fa>
<short_title>Health Science Monitor</short_title>
<subject>Basic Sciences</subject>
<web_url>http://hsm.umsu.ac.ir</web_url>
<journal_hbi_system_id>1</journal_hbi_system_id>
<journal_hbi_system_user>admin</journal_hbi_system_user>
<journal_id_issn></journal_id_issn>
<journal_id_issn_online>2980-8723</journal_id_issn_online>
<journal_id_pii>8</journal_id_pii>
<journal_id_doi>10.61882/hsm</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid>14</journal_id_sid>
<journal_id_nlai>9104634</journal_id_nlai>
<journal_id_science>13</journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1402</year>
	<month>2</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2023</year>
	<month>5</month>
	<day>1</day>
</pubdate>
<volume>2</volume>
<number>2</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>Prediction of multidrug-resistant tuberculosis in tuberculosis patients using perceptron artificial neural networks model</title>
	<subject_fa>عمومى</subject_fa>
	<subject>General</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Research Article</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;span style=&quot;font-size:12pt&quot;&gt;&lt;span style=&quot;line-height:16.0pt&quot;&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; style=&quot;font-family:&quot; times=&quot;&quot;&gt;&lt;b&gt;&lt;i&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt;Background &amp; Aims&lt;/span&gt;&lt;/i&gt;&lt;/b&gt;&lt;b&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt;: &lt;/span&gt;&lt;/b&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt;Diagnosis and treatment of patients with multidrug-resistant tuberculosis (MDR-TB) are very important. Hence, it is necessary to predict and diagnose these patients based on individual, demographic and clinical characteristics before starting treatment. This study aimed to predict MDR-TB in TB patients using the perceptron artificial neural networks (ANNs) model.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;br&gt;
&lt;span style=&quot;font-size:12pt&quot;&gt;&lt;span style=&quot;line-height:16.0pt&quot;&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; style=&quot;font-family:&quot; times=&quot;&quot;&gt;&lt;b&gt;&lt;i&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt;Materials &amp; Methods&lt;/span&gt;&lt;/i&gt;&lt;/b&gt;&lt;b&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt;:&lt;/span&gt;&lt;/b&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt; This retrospective cohort study was conducted on 1,050 TB patients who have been treated in Masih Daneshvari Hospital, Tehran, Iran from 2005 to 2015. Data on personal and demographic information, as well as medical data such as drug therapy, final outcome of treatment, and the diagnosis of MDR-TB, were collected from the patients&amp;#39; medical records.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;br&gt;
&lt;span style=&quot;font-size:12pt&quot;&gt;&lt;span style=&quot;line-height:16.0pt&quot;&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; style=&quot;font-family:&quot; times=&quot;&quot;&gt;&lt;b&gt;&lt;i&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt;Results&lt;/span&gt;&lt;/i&gt;&lt;/b&gt;&lt;b&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt;:&lt;/span&gt;&lt;/b&gt; &lt;span style=&quot;font-size:9.0pt&quot;&gt;The results of this study indicated that the predictive power of MDR-TB for both training and testing groups was 85% and 80%, respectively. Also, the variables of marital status, education, drug use, being imprisoned, extrapulmonary TB, history of comorbidities, AIDS, patients&amp;#39; age, and family size were identified as very effective factors. However, variables of residence, smoking history, contact with a TB person, pulmonary TB, drug side effects, nationality, and diabetes were found as effective factors in predicting the development of MDR-TB.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;br&gt;
&lt;b&gt;&lt;i&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt;&lt;span style=&quot;line-height:200%&quot;&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; style=&quot;font-family:&quot; times=&quot;&quot;&gt;Conclusion&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/i&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt;&lt;span style=&quot;line-height:200%&quot;&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; style=&quot;font-family:&quot; times=&quot;&quot;&gt;: &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/b&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt;&lt;span style=&quot;line-height:200%&quot;&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; style=&quot;font-family:&quot; times=&quot;&quot;&gt;Application of the perceptron ANNs model in the study of MDR-TB is able to create new horizons in the diagnosis of these patients due to high predictive accuracy.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Artificial neural networks, Perceptron, Tuberculosis, Multidrug-resistant tuberculosis</keyword>
	<start_page>90</start_page>
	<end_page>98</end_page>
	<web_url>http://hsm.umsu.ac.ir/browse.php?a_code=A-10-76-6&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Mehdi</first_name>
	<middle_name></middle_name>
	<last_name>Kazempour Dizaji</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mehdikazempourdizaji@gmail.com</email>
	<code>10031947532846001427</code>
	<orcid>10031947532846001427</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Mycobacteriology Research Center (MRC), National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran </affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Mohammad</first_name>
	<middle_name></middle_name>
	<last_name>Varahram</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mehdikazempourdizaji@gmail.com</email>
	<code>10031947532846001428</code>
	<orcid>10031947532846001428</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Mycobacteriology Research Center (MRC), National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran </affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Payam</first_name>
	<middle_name></middle_name>
	<last_name>Tabarsi</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mehdikazempourdizaji@gmail.com</email>
	<code>10031947532846001429</code>
	<orcid>10031947532846001429</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Rahim</first_name>
	<middle_name></middle_name>
	<last_name>Roozbahani</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mehdikazempourdizaji@gmail.com</email>
	<code>10031947532846001430</code>
	<orcid>10031947532846001430</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Ali</first_name>
	<middle_name></middle_name>
	<last_name>Zare</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mehdikazempourdizaji@gmail.com</email>
	<code>10031947532846001431</code>
	<orcid>10031947532846001431</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Biostatistics, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Afshin</first_name>
	<middle_name></middle_name>
	<last_name>Moniri</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mehdikazempourdizaji@gmail.com</email>
	<code>10031947532846001432</code>
	<orcid>10031947532846001432</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Mohammadreza </first_name>
	<middle_name></middle_name>
	<last_name>Madani </last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mehdikazempourdizaji@gmail.com</email>
	<code>10031947532846001433</code>
	<orcid>10031947532846001433</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran </affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Atefe</first_name>
	<middle_name></middle_name>
	<last_name>Abedini</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mehdikazempourdizaji@gmail.com</email>
	<code>10031947532846001434</code>
	<orcid>10031947532846001434</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran </affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Parvaneh</first_name>
	<middle_name></middle_name>
	<last_name>Baghaei Shiva </last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mehdikazempourdizaji@gmail.com</email>
	<code>10031947532846001435</code>
	<orcid>10031947532846001435</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Majid</first_name>
	<middle_name></middle_name>
	<last_name>Marjani</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mehdikazempourdizaji@gmail.com</email>
	<code>10031947532846001436</code>
	<orcid>10031947532846001436</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran </affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Niloufar</first_name>
	<middle_name></middle_name>
	<last_name>Alizadeh Kolahdozi</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mehdikazempourdizaji@gmail.com</email>
	<code>10031947532846001437</code>
	<orcid>10031947532846001437</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Biostatistics, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
