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

• Main Authors: Murad, Saydul Akbar, Zafril Rizal, M Azmi, Zaid Hafiz, Hakami, Prottasha, Nusrat Jahan, Kowsher, Md
• 格式: Conference or Workshop Item
• 語言: English; English
• 出版: IEEE 2021
• 主題: QA76 Computer software
• 在線閱讀: 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

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...