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            <name>Title</name>
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                <text>Articles</text>
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    <name>Article</name>
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          <name>Title</name>
          <description>A name given to the resource</description>
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              <text>An AI-enabled research support tool for the classification system of COVID-19</text>
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          <name>Subject</name>
          <description>The topic of the resource</description>
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              <text>Artificial Intelligence; bi-directional LSTM; classification; COVID-19; long short-term memory</text>
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          <name>Description</name>
          <description>An account of the resource</description>
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              <text>The outbreak of COVID-19, a little more than 2 years ago, drastically affected all segments of society throughout the world. While at one end, the microbiologists, virologists, and medical practitioners were trying to find the cure for the infection; the Governments were laying emphasis on precautionary measures like lockdowns to lower the spread of the virus. This pandemic is perhaps also the first one of its kind in history that has research articles in all possible areas as like: medicine, sociology, psychology, supply chain management, mathematical modeling, etc. A lot of work is still continuing in this area, which is very important also for better preparedness if such a situation arises in future. The objective of the present study is to build a research support tool that will help the researchers swiftly identify the relevant literature on a specific field or topic regarding COVID-19 through a hierarchical classification system. The three main tasks done during this study are data preparation, data annotation and text data classification through bi-directional long short-term memory (bi-LSTM). Copyright  2023 Tiwari, Bhattacharjee, Pant, Srivastava and Snasel.</text>
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          <name>Creator</name>
          <description>An entity primarily responsible for making the resource</description>
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              <text>Tiwari A.; Bhattacharjee K.; Pant M.; Srivastava S.; Snasel V.</text>
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          <name>Source</name>
          <description>A related resource from which the described resource is derived</description>
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              <text>Frontiers in Public Health, Vol-11</text>
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          <name>Publisher</name>
          <description>An entity responsible for making the resource available</description>
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              <text>Frontiers Media S.A.</text>
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          <name>Date</name>
          <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <text>2023-01-01</text>
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          <name>Identifier</name>
          <description>An unambiguous reference to the resource within a given context</description>
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              <text>&lt;a href="https://doi.org/10.3389/fpubh.2023.1124998" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.3389/fpubh.2023.1124998&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150412927&amp;amp;doi=10.3389%2Ffpubh.2023.1124998&amp;amp;partnerID=40&amp;amp;md5=370dd930f2cec5ca466ebede35b44a5f" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150412927&amp;amp;doi=10.3389%2ffpubh.2023.1124998&amp;amp;partnerID=40&amp;amp;md5=370dd930f2cec5ca466ebede35b44a5f&lt;/a&gt;</text>
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          <name>Rights</name>
          <description>Information about rights held in and over the resource</description>
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            <elementText elementTextId="101974">
              <text>All Open Access; Gold Open Access; Green Open Access</text>
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          <name>Relation</name>
          <description>A related resource</description>
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              <text>ISSN: 22962565; PubMed ID: 36935722</text>
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          <name>Format</name>
          <description>The file format, physical medium, or dimensions of the resource</description>
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              <text>Online</text>
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          <name>Language</name>
          <description>A language of the resource</description>
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              <text>English</text>
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              <text>Article</text>
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          <name>Coverage</name>
          <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <text>Tiwari A., Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, India; Bhattacharjee K., Machine Intelligence in Medicine and Imaging (MI-2) Lab, Mayo Clinic, Phoenix, AZ, United States; Pant M., Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, India, Mehta Family School for Data Science and Artificial Intelligence, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, India; Srivastava S., CHRIST (Deemed to be University) Delhi NCR, Ghaziabad, India; Snasel V., Department of Computer Science, VB-Technical University of Ostrava, Ostrava, Czech Republic</text>
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