تطوير التعلم الآلي المختلط في تصنيف تشخيص المرضى باستخدام نموذج ) XRP  الاستخراج والاختزال والتنبؤ(

Basil NN, Ambe S, Ekhator C, Fonkem E. Health records database and inherent security concerns: A review of the literature. Cureus. 2022; 14(10): e30168. https://doi.org/10.7759/cureus.30168

Farooqui ME, Ahmad DJ. A detailed review on disease prediction models that uses machine learning. Int J Innov Res Comput Sci Technol. 2020; 8(4): 326-330. https://doi.org/10.21276/ijircst.2020.8.4.14

Joseph N, Lindblad I, Zaker S, Elfversson S, Albinzon M, Hantler L, et al. Automated data extraction of electronic medical records: Validity of data mining to construct research databases for eligibility in gastroenterological clinical trials. Ups J Med Sci. 2022; 127(1). https://doi.org/10.48101/ujms.v127.8260

Alanazi R. Identification and prediction of chronic diseases using machine learning approach. J Healthc Eng. 2022; 2826127. https://doi.org/10.1155/2022/2826127

Ghaffar Nia N, Kaplanoglu E, Nasab A. Evaluation of artificial intelligence techniques in disease diagnosis and prediction. Discov Artif Intell. 2023; 3: 5. https://doi.org/10.1007/s44163-023-00049-5

Qu K, Wang L. Research on visual data mining technology. J Phys Conf Ser. 2021; 1748(3). https://doi.org/10.1088/1742-6596/1748/3/032056

Miao C, An TS. Application of data mining techniques on tourist expenses in Malaysia. Baghdad Sci J. 2021; 18: 737-745. https://doi.org/10.21123/bsj.2021.18.1(Suppl.).0737

Mahmood RAR, Abdi AH, Hussin M. Performance evaluation of intrusion detection system using selected features and machine learning classifiers. Baghdad Sci J. 2021; 18: 884-898. https://doi.org/10.21123/bsj.2021.18.2(Suppl.).0884

Sameer S, Behadili SF. Data mining techniques for Iraqi biochemical dataset analysis. Baghdad Sci J. 2022; 19(2): 385-398. https://doi.org/10.21123/bsj.2022.19.2.0385

Morales A, Villalobos FJ. Using machine learning for crop yield prediction in the past or the future. Front Plant Sci. 2023; 14: 1-13. https://doi.org/10.3389/fpls.2023.1128388

Hu F, Situo Z, Xubin L, Liu W, Niandong L, Yanqi S, et al. Network traffic classification model based on attention mechanism and spatiotemporal features. Eurasip J Inf Secur. 2023; 1: 6. https://doi.org/10.1186/s13635-023-00141-4

Julian A, Deepika R, Geetha B, Sweety VJ. Heart disease prediction using machine learning. In: Artificial Intelligence, Blockchain and Computing Security. 2023; 2: 248-253. https://doi.org/10.1201/9781032684994-38

Bashir S. Improving heart disease prediction using feature selection approaches. In: Proceedings of the 2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST). 2019; 619-623. https://doi.org/10.1109/IBCAST.2019.8667106

Hoque S, Khatun SS, Khurshid AB, Peal MD, Salam KMA. Prediction of heart disease using machine learning. In: 2022 International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC). 2022; 471–476. https://doi.org/10.1109/ICMACC54824.2022.10093246

Zeniarja J, Ukhifahdhina A, Salam A. Diagnosis of heart disease using K-nearest neighbor method based on forward selection. J Appl Intell Syst. 2020; 4(2): 39–47. https://doi.org/10.33633/jais.v4i2.2749

Pemmaraju AG, Asish A, Das S. Heart disease prediction using feature selection and machine learning techniques. In: 2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS). 2022; 28–33. https://doi.org/10.1109/MLCSS57186.2022.00014

Pious IK, Antony Kumar K, Soulwin YC, Reddy EN. Heart disease prediction using machine learning algorithms. In: 2022 International Conference on Innovative Computing. Intelligent Communication and Smart Electrical Systems (ICSES). 2022; 1–6. https://doi.org/10.1109/ICSES55317.2022.9914207

Modak S, Abdel-Raheem A, Rueda E. "Heart Disease Prediction Using Adaptive Infinite Feature Selection and Deep Neural Networks," 2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC). 2022; 235-240. https://doi.org/10.1109/ICAIIC54071.2022.9722652

Gupta A, Yadav S, Shahid S, Venkanna U. Heart Care: IoT based heart disease prediction system. In: International Conference on Information Technology (ICIT). 2019; 88-93 https://doi.org/10.1109/ICIT48102.2019.00022

Latha CBC, Jeeva SC. Improving the accuracy of prediction of heart disease risk based on ensemble classification techniques. Inform Med Unlocked. 2019; 16: 100203. https://doi.org/10.1016/j.imu.2019.100203

Mohan S, Thirumalai C, Srivastava G. Effective heart disease prediction using hybrid machine learning techniques. IEEE Access. 2019; 7: 81542-81554. https://doi.org/10.1109/ACCESS.2019.2923707