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Developing count regression techniques for predicting the number of new type 2 diabetes cases in Saudi Arabia

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Published in:PLOS ONE
Format: Online Article RSS Article
Published: 2026
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discipline_display Engineering & Technology
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publishDateSort 2026
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spellingShingle Developing count regression techniques for predicting the number of new type 2 diabetes cases in Saudi Arabia
Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
subject_facet Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
title Developing count regression techniques for predicting the number of new type 2 diabetes cases in Saudi Arabia
title_auth Developing count regression techniques for predicting the number of new type 2 diabetes cases in Saudi Arabia
title_full Developing count regression techniques for predicting the number of new type 2 diabetes cases in Saudi Arabia
title_fullStr Developing count regression techniques for predicting the number of new type 2 diabetes cases in Saudi Arabia
title_full_unstemmed Developing count regression techniques for predicting the number of new type 2 diabetes cases in Saudi Arabia
title_short Developing count regression techniques for predicting the number of new type 2 diabetes cases in Saudi Arabia
title_sort developing count regression techniques for predicting the number of new type 2 diabetes cases in saudi arabia
topic Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
url https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0341436