Computer-aided system for extending the performance of diabetes analysis and prediction

Every year, diabetes causes health difficulties for hundreds of millions of individuals throughout the world. Patients’ medical records may be utilized to quantify symptoms, physical characteristics, and clinical laboratory test data, which may then be utilized to undertake biostatistics analysis to...

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Bibliographic Details

Main Authors:	Murad, Saydul Akbar, Zafril Rizal, M Azmi, Zaid Hafiz, Hakami, Prottasha, Nusrat Jahan, Kowsher, Md
Format:	Conference or Workshop Item
Language:	en en
Published:	IEEE 2021
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/34577/1/Computer-aided%20system%20for%20extending%20the%20performance%20of%20diabetes%20analysis%20.pdf http://umpir.ump.edu.my/id/eprint/34577/2/Computer-aided%20system%20for%20extending%20the%20performance%20of%20diabetes%20analysis_FULL.pdf http://umpir.ump.edu.my/id/eprint/34577/ https://doi.org/10.1109/ICSECS52883.2021.00091
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