| Coupling a fast fourier transformation with a machine learning ensemble model to support recommendations for heart disease patients in a telehealth environment J Zhang, RL Lafta, X Tao, Y Li, F Chen, Y Luo, X Zhu Ieee Access 5, 10674-10685, 2017 | 58 | 2017 |
| An intelligent recommender system based on short-term risk prediction for heart disease patients R Lafta, J Zhang, X Tao, Y Li, VS Tseng 2015 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2015 | 35 | 2015 |
| An intelligent recommender system based on predictive analysis in telehealthcare environment R Lafta, J Zhang, X Tao, Y Li, VS Tseng, Y Luo, F Chen Web Intelligence 14 (4), 325-336, 2016 | 28 | 2016 |
| A structural graph-coupled advanced machine learning ensemble model for disease risk prediction in a telehealthcare environment R Lafta, J Zhang, X Tao, Y Li, M Diykh, JCW Lin Big data in engineering applications, 363-384, 2018 | 14 | 2018 |
| A fast Fourier transform-coupled machine learning-based ensemble model for disease risk prediction using a real-life dataset R Lafta, J Zhang, X Tao, Y Li, W Abbas, Y Luo, F Chen, VS Tseng Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017 | 14 | 2017 |
| A general extensible learning approach for multi-disease recommendations in a telehealth environment R Lafta, J Zhang, X Tao, X Zhu, H Li, L Chang, R Deo Pattern Recognition Letters 132, 106-114, 2020 | 5 | 2020 |
| An intelligent recommender system based on predictive analysis in telehealthcare environment Web Intelligence, Vol. 14 R Lafta, J Zhang, X Tao, Y Li, VS Tseng, Y Luo, F Chen IOS Press, 2016 | 5 | 2016 |
| Clustering similar time series data for the prediction the patients with heart disease RL Lafta, MS AL-Musaylh, QM Shallal Indonesian Journal of Electrical Engineering and Computer Science 26 (2), 947, 2022 | 2 | 2022 |
| A recommender system with advanced time series medical data analysis for diabetes patients in a telehealth environment R Lafta, J Zhang, X Tao, JCW Lin, F Chen, Y Luo, X Zheng Database and Expert Systems Applications: 29th International Conference …, 2018 | 2 | 2018 |
| IRS-HD: an intelligent personalized recommender system for heart disease patients in a tele-health environment R Lafta, J Zhang, X Tao, Y Li, VS Tseng Advanced Data Mining and Applications: 12th International Conference, ADMA …, 2016 | 2 | 2016 |
| Adopting Hybrid Descriptors to Recognise Leaf Images for Automatic Plant Specie Identification AA Al-kharaz, X Tao, J Zhang, R Lafta International Conference on Advanced Data Mining and Applications, 219-233, 2016 | 1 | 2016 |
| Classification of epileptic based on fast Fourier transform and ensemble model R Lafta, H Alshaheen, FH Enad AIP Conference Proceedings 3051 (1), 2024 | | 2024 |
| EEG and Fractal Dimension for Epileptic Seizures Detection ZG Naser, RL Lafta 2023 Al-Sadiq International Conference on Communication and Information …, 2023 | | 2023 |
| Classification of EEG signals using fractals Dimensions for diagnosing epilepsy Z Gheni, RL Lafta Journal of Education for Pure Science-University of Thi-Qar 13 (1), 1-10, 2023 | | 2023 |
| Fast Fourier Transform and Ensemble Model to Classify Epileptic EEG Signals R Lafta, H Alshaheen, B Wang, X Tao, L Li, K Zhang, J Zhang 2022 IEEE International Conference on Big Data (Big Data), 6745-6746, 2022 | | 2022 |
| EEG Epileptic Seizures Clustering Based on K-means and wavelet H Hassan, RL Lafta JOURNAL OF OPTOELECTRONICS LASER 41 (8), 2022 | | 2022 |
| An intelligent recommender system based on short-term disease risk prediction for patients with chronic diseases in a telehealth environment RL Lafta University of Southern Queensland, 2018 | | 2018 |
