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  <doi_batch_id>aspg-40-3496-1792533381</doi_batch_id>
  <timestamp>20261020215621</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>Pure Mathematics for Theoretical Computer Science</full_title>
    <abbrev_title>PMTCS</abbrev_title>
    <issn media_type="electronic">2995-3162</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <journal_volume>
     <volume>4</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Fuzzy Generalized Poisson Doubles Hurdle Model (FGPDH) on the Leukemia in Iraq</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Adel Abbood</given_name>
      <surname>Najm</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Statistics, Administration and Economics College, Sumer University-Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Bashar Khalid</given_name>
      <surname>Ali</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Statistics, Administration and Economics College, Sumer University-Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>and Fuzzy Generalized Double Hurdle (FGPDH)—to estimate and predict patient outcomes. We used the Firefly Algorithm to optimize and estimate the parameters for these models. Among them, the FGPDH model consistently provided the most accurate predictions, closely matching the actual values. The Generalized Double Hurdle model also performed well, significantly improving accuracy by capturing the complexity of the data. In contrast, models like Poisson, Single Hurdle, and Double Hurdle Poisson showed less predictive accuracy due to higher error rates. Our proposed FGPDH model, enhanced with the Firefly Algorithm, effectively handles uncertainty and complexity, making it the most reliable and precise approach in this context.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>30</first_page>
     <last_page>36</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">3496</item_number>
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     <doi>10.54216/PMTCS.040205</doi>
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