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

• 主要な著者: Murad, Saydul Akbar, Zafril Rizal, M Azmi, Zaid Hafiz, Hakami, Prottasha, Nusrat Jahan, Kowsher, Md
• フォーマット: Conference or Workshop Item
• 言語: English; English
• 出版事項: IEEE 2021
• 主題: QA76 Computer software
• オンライン･アクセス: 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...