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<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Dear Colleagues,<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">I will be very happy to hear from you about our published paper:<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<h1 style="background:white"><b><span style="font-family:"Arial",sans-serif">IDMPF: intelligent diabetes mellitus prediction framework using machine learning</span></b><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></h1>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size:13.5pt;font-family:AdvGulliv-R"><a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FACI-10-2020-0094%2Ffull%2Fhtml&data=04%7C01%7CLeila%40uaeu.ac.ae%7C091813f356434f8099b908d9617c081f%7C97a92b044c8743419b08d8051ef8dce2%7C0%7C0%7C637648007601147090%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=nHUm9y7BujY5v6oNdLhBE0tUJxt%2BzaYXFZGUcOEfdt0%3D&reserved=0">https://www.emerald.com/insight/content/doi/10.1108/ACI-10-2020-0094/full/html</a>
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:13.5pt;font-family:AdvGulliv-R"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:13.5pt;font-family:AdvGulliv-R">Please do not hesitate to contact me with your comments.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:13.5pt;font-family:AdvGulliv-R"><o:p> </o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-size:18.0pt;font-family:"Arial",sans-serif">Abstract<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-size:13.5pt;font-family:"Arial",sans-serif">Purpose<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.5pt;font-family:"Arial",sans-serif">Machine Learning is an intelligent methodology used for prediction and has shown promising results in predictive classifications. One of the critical
areas in which machine learning can save lives is diabetes prediction. Diabetes is a chronic disease and one of the 10 causes of death worldwide. It is expected that the total number of diabetes will be 700 million in 2045; a 51.18% increase compared to 2019.
These are alarming figures, and therefore, it becomes an emergency to provide an accurate diabetes prediction.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-size:13.5pt;font-family:"Arial",sans-serif">Design/methodology/approach<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.5pt;font-family:"Arial",sans-serif">Health professionals and stakeholders are striving for classification models to support prognosis of diabetes and formulate strategies for prevention.
The authors conduct literature review of machine models and propose an intelligent framework for diabetes prediction.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-size:13.5pt;font-family:"Arial",sans-serif">Findings<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.5pt;font-family:"Arial",sans-serif">The authors provide critical analysis of machine learning models, propose and evaluate an intelligent machine learning-based architecture for diabetes
prediction. The authors implement and evaluate the decision tree (DT)-based random forest (RF) and support vector machine (SVM) learning models for diabetes prediction as the mostly used approaches in the literature using our framework.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-size:13.5pt;font-family:"Arial",sans-serif">Originality/value<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.5pt;font-family:"Arial",sans-serif">This paper provides novel intelligent diabetes mellitus prediction framework (IDMPF) using machine learning. The framework is the result of a critical
examination of prediction models in the literature and their application to diabetes. The authors identify the training methodologies, models evaluation strategies, the challenges in diabetes prediction and propose solutions within the framework. The research
results can be used by health professionals, stakeholders, students and researchers working in the diabetes prediction area.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:13.5pt;font-family:AdvGulliv-R"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:13.5pt;font-family:AdvGulliv-R"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:13.5pt;font-family:AdvGulliv-R">Kind regards,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:13.5pt;font-family:AdvGulliv-R">Leila<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="color:#212121"><o:p> </o:p></span></p>
<p class="MsoNormal" style="background:white"><span lang="FR" style="color:#1F497D">---</span><span lang="FR" style="color:#201F1E"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span lang="FR" style="color:#1F497D">Leila Ismail, Ph.D.</span><span lang="FR" style="color:#201F1E"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="color:#1F497D">Associate Professor</span><span style="color:#201F1E">,
</span><span style="color:#1F497D">Dept. of Computer Science & Software Engineering</span><span style="color:#201F1E"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><b><i><span style="color:#1F497D">Founder and Director to Intelligent Distributed Computing & Systems (INDUCE) Research Laboratory<o:p></o:p></span></i></b></p>
<p class="MsoNormal" style="background:white"><b><i><span style="color:#1F497D">(Industry 4.0 projects and beyond)<o:p></o:p></span></i></b></p>
<p class="MsoNormal" style="background:white"><b><i><span style="color:#1F497D">[Beyond the sky’s the limit]</span></i></b><i><span style="color:#201F1E"><o:p></o:p></span></i></p>
<p class="MsoNormal" style="background:white"><span style="color:#1F497D">College of IT, UAE University</span><span style="color:#201F1E"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="color:#1F497D;border:none windowtext 1.0pt;padding:0in">P.O.Box 15551, Al</span><span style="color:#1F497D">-Ain, UAE</span><span style="color:#201F1E"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="color:#1F497D">Telephone: +971-3-7135530</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
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<b style="font-family: Tahoma, Geneva, " sans-serif;?="">تنبيه: </b>"تنبيه: إن محتوى هذا البريد الإلكتروني بمرفقاته وبياناته وآرائه الواردة في هذه الوثيقة يحتوي على معلومات تعتبر ذات طبيعة سرية، وتستهدف المرسل اسمه فقط، فإذا لم تكن المرسل إليه في هذه الرسالة
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لمرسل، علماً بأن إخلالك بما سبق سيعرضك للمساءلة القانونية" . </p>
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