<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.0 20040830//EN" "journalpublishing.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="2.0" xml:lang="en" article-type="reviewer-report"><front><journal-meta><journal-id journal-id-type="nlm-ta">JMIRx Med</journal-id><journal-id journal-id-type="publisher-id">xmed</journal-id><journal-id journal-id-type="index">34</journal-id><journal-title>JMIRx Med</journal-title><abbrev-journal-title>JMIRx Med</abbrev-journal-title><issn pub-type="epub">2563-6316</issn><publisher><publisher-name>JMIR Publications</publisher-name><publisher-loc>Toronto, Canada</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">v5i1e60393</article-id><article-id pub-id-type="doi">10.2196/60393</article-id><article-categories><subj-group subj-group-type="heading"><subject>Peer-Review Report</subject></subj-group></article-categories><title-group><article-title>Peer Review of &#x201C;Machine Learning&#x2013;Based Hyperglycemia Prediction: Enhancing Risk Assessment in a Cohort of Undiagnosed Individuals&#x201D;</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Abd El-Hafeez</surname><given-names>Tarek</given-names></name><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff id="aff1"><institution>Deraya University</institution>, <addr-line>Deraya Square</addr-line><addr-line>New Minia</addr-line>, <country>Egypt</country></aff><contrib-group><contrib contrib-type="editor"><name name-style="western"><surname>Meinert</surname><given-names>Edward</given-names></name></contrib></contrib-group><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>11</day><month>9</month><year>2024</year></pub-date><volume>5</volume><elocation-id>e60393</elocation-id><history><date date-type="received"><day>09</day><month>05</month><year>2024</year></date><date date-type="accepted"><day>09</day><month>05</month><year>2024</year></date></history><copyright-statement>&#x00A9; Tarek Abd El-Hafeez. Originally published in JMIRx Med (<ext-link ext-link-type="uri" xlink:href="https://med.jmirx.org">https://med.jmirx.org</ext-link>), 11.9.2024. </copyright-statement><copyright-year>2024</copyright-year><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIRx Med, is properly cited. The complete bibliographic information, a link to the original publication on <ext-link ext-link-type="uri" xlink:href="https://med.jmirx.org/">https://med.jmirx.org/</ext-link>, as well as this copyright and license information must be included.</p></license><self-uri xlink:type="simple" xlink:href="https://xmed.jmir.org/2024/1/e60393"/><related-article related-article-type="companion" ext-link-type="doi" xlink:href="10.1101/2023.11.22.23298939" xlink:title="Preprint (medRxiv)" xlink:type="simple">https://www.medrxiv.org/content/10.1101/2023.11.22.23298939v1</related-article><related-article related-article-type="companion" ext-link-type="doi" xlink:href="10.2196/56993" xlink:title="Preprint (JMIR Preprints)" xlink:type="simple">http://preprints.jmir.org/preprint/56993</related-article><related-article related-article-type="companion" ext-link-type="doi" xlink:href="10.2196/60174" xlink:title="Authors' Response to Peer-Review Reports" xlink:type="simple">https://med.jmirx.org/2024/1/e60174</related-article><related-article related-article-type="companion" ext-link-type="doi" xlink:href="10.2196/56993" xlink:title="Published Article" xlink:type="simple">https://med.jmirx.org/2024/1/e56993</related-article><kwd-group><kwd>hyperglycemia</kwd><kwd>diabetes</kwd><kwd>machine learning</kwd><kwd>hypertension</kwd><kwd>random forest</kwd></kwd-group></article-meta></front><body><p><italic>This is the peer-review report for &#x201C;Machine Learning&#x2013;Based Hyperglycemia Prediction: Enhancing Risk Assessment in a Cohort of Undiagnosed Individuals.&#x201D;</italic></p><sec id="s2"><title>Round 1 Review</title><list list-type="order"><list-item><p>In this paper [<xref ref-type="bibr" rid="ref1">1</xref>], describe dataset features in more detail and its total size and size (train/test) as a table.</p></list-item><list-item><p>Pseudocode/flowchart and algorithm steps need to be inserted.</p></list-item><list-item><p>Time spent needs to be measured in the experimental results.</p></list-item><list-item><p>Limitation and Discussion sections need to be inserted.</p></list-item><list-item><p>All metrics need to be calculated such as precision, recall, and receiver operating characteristic curves in the experimental results.</p></list-item><list-item><p>The parameters used for the analysis must be provided in a table.</p></list-item><list-item><p>The architecture of the proposed model must be provided.</p></list-item><list-item><p>The authors need to make a clear proofread to avoid grammatical mistakes and typo errors.</p></list-item><list-item><p>Add future work in last section (conclusion), if any.</p></list-item><list-item><p>The authors need to add recent articles in related work and update them.</p></list-item><list-item><p>To improve the Related Work and Introduction sections, authors are recommended to review these highly related research work papers:</p><list list-type="bullet"><list-item><p>El-Hafeez TA, Shams MY, Elshaier YAMM, Farghaly HM, Hassanien AE. Harnessing machine learning to find synergistic combinations for FDA-approved cancer drugs. <italic>Sci Rep</italic>. Jan 29, 2024;14(1):2428. [doi: 10.1038/s41598-024-52814-w] [Medline: 38287066]</p></list-item><list-item><p>Hassan E, El-Hafeez TA, Shams MY. Optimizing classification of diseases through language model analysis of symptoms. <italic>Sci Rep</italic>. Jan 17, 2024;14(1):1507. [doi: 10.1038/s41598-024-51615-5] [Medline: 38233458]</p></list-item><list-item><p>Omar A, El-Hafeez TA. Optimizing epileptic seizure recognition performance with feature scaling and dropout layers. <italic>Neural Computing Applications</italic>. Nov 24, 2024;36:2835-2852. [doi: 10.1007/s00521-023-09204-6]</p></list-item><list-item><p>Hady DAA, El-Hafeez TA. Predicting female pelvic tilt and lumbar angle using machine learning in case of urinary incontinence and sexual dysfunction. <italic>Sci Rep</italic>. Oct 20, 2023;13(1):17940. [doi: 10.1038/s41598-023-44964-0] [Medline: 37863988]</p></list-item><list-item><p>Eliwa EHI, El Koshiry AM, El-Hafeez TA, Farghaly HM. Utilizing convolutional neural networks to classify monkeypox skin lesions. <italic>Sci Rep</italic>. Sep 3, 2023;13(1):14495. [doi: 10.1038/s41598-023-41545-z] [Medline: 37661211]</p></list-item><list-item><p>Farghaly HM, Shams MY, El-Hafeez TA. Hepatitis C Virus prediction based on machine learning framework: a real-world case study in Egypt. <italic>Knowledge Inf Syst</italic>. Mar 2, 2023;65:2595-2617. [doi: 10.1007/s10115-023-01851-4]</p></list-item></list></list-item></list></sec><sec id="s3"><title>Round 2 Review</title><p>Accept.</p></sec></body><back><fn-group><fn fn-type="conflict"><p>None declared.</p></fn></fn-group><ref-list><title>References</title><ref id="ref1"><label>1</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Oyebola</surname><given-names>K</given-names> </name><name name-style="western"><surname>Ligali</surname><given-names>F</given-names> </name><name name-style="western"><surname>Owoloye</surname><given-names>A</given-names> </name><etal/></person-group><article-title>Machine learning&#x2013;based hyperglycemia prediction: enhancing risk assessment in a cohort of undiagnosed individuals</article-title><source>JMIRx Med</source><year>2024</year><volume>5</volume><fpage>e56993</fpage><pub-id pub-id-type="doi">10.2196/56993</pub-id></nlm-citation></ref></ref-list></back></article>