Classification Algorithms and Feature Selection Techniques for a Hybrid Diabetes Detection System

• 主要な著者: Al-Hameli, Bassam Abdo, Alsewari, Abdulrahman A., Alraddadi, Abdulaziz Saleh, Aldhaqm, Arafat
• フォーマット: 論文
• 言語: English
• 出版事項: MUK Publications 2021
• 主題: QA Mathematics
• オンライン･アクセス: http://umpir.ump.edu.my/id/eprint/32648/1/Classification%20Algorithms%20and%20Feature%20Selection%20Techniques%20for%20a%20Hybrid%20Diabetes%20Detection%20System.pdf; http://umpir.ump.edu.my/id/eprint/32648/; https://www.mukpublications.com/ijcic-v13-1-2021.php

Artificial intelligence is a future and valuable tool for early disease recognition and support in patient condition monitoring. It can increase the reliability of the cure and decision making by developing useful systems and algorithms. Healthcare workers, especially nurses and physicians, are over...