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Sakifa Aktar

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Articles

A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh

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By Jamal Uddin, Martuza Ahamad, Sakifa Aktar, Nesarul Hoque
| MDPI
Altmetric share Share announcement Help format_quote Cite thumb_up ... Endorse textsms ... Comment Need Help? Support Find support for a specific problem in the support section of our website. Get Support Feedback Please let us know what you think of our products and services. Give Feedback Information Visit our dedicated information section to learn more about MDPI.
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An Integrated Statistical and Clinically Applicable Machine Learning Framework for the Detection of Autism Spectrum Disorder

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By Jamal Uddin, Martuza Ahamad, Sakifa Aktar, Prodip Kumar Sarker
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
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Healthcare | Free Full-Text | Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity

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By Jamal Uddin, Shahadat Uddin, Martuza Ahamad, Sakifa Aktar
| MDPI
2.2. Data Processing Before applying statistical methods and machine learning models, we preprocessed the dataset, including the use of feature extraction and feature engineering. After discussing this dataset with expert clinicians, we first constructed a designated list of features, e.g., symptom names and comorbidities.
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