Detecting Diabetes Using Machine Learning Algorithms
Author:
Affiliation:
1. Ministry of education,Basrah Education Directorate,Basrah,Iraq
2. University of Technology-Iraq,Biomedical Engineering Department,Baghdad,Iraq
3. Southern Technical University,Engineering Technical College,Basrah,Iraq
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10009910/10009912/10010408.pdf?arnumber=10010408
Reference41 articles.
1. Prediction and Diagnosis of Diabetes by Using Data Mining Techniques;mirzajani;Avicenna J Med Biochem,2018
2. Improved logistic regression model for diabetes prediction by integrating PCA and K-means techniques;sheng;Informatics in Medicine Unlocked Science Direct,2019
3. A novel improved random forest for text classification using feature ranking and optimal number of trees
4. GIS-based and Naïve Bayes for nitrogen soil mapping in Lendah, Indonesia
5. Forecasting chronic mastitis using automatic milking system sensor data and gradient-boosting classifiers
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1. Detection of Diabetes Using 1D Convolutional Neural Network from Short Time PPG Signal;2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD);2023-09-21
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