| The impact of cloud computing technologies in e-learning A Al Tayeb, K Alghatani, S El-Seoud, H El-Sofany International Journal of Emerging Technologies in Learning (iJET) 8 (2013), 2013 | 73 | 2013 |
| Predicting intensive care unit length of stay and mortality using patient vital signs: machine learning model development and validation K Alghatani, N Ammar, A Rezgui, A Shaban-Nejad JMIR medical informatics 9 (5), e21347, 2021 | 72 | 2021 |
| Telemedicine implementation: barriers and recommendations KM Alghatani Journal of Scientific Research and Studies 3 (7), 140-145, 2016 | 17 | 2016 |
| A cloud-based intelligent remote patient monitoring architecture K Alghatani, R Abdelmounaam Proceedings of the International Conference on Health Informatics & Medical …, 2019 | 10 | 2019 |
| Precision clinical medicine through machine learning: using high and low quantile ranges of vital signs for risk stratification of ICU patients K Alghatani, N Ammar, A Rezgui, A Shaban-Nejad IEEE Access 10, 52418-52430, 2022 | 9 | 2022 |
| The Impact of Cloud Computing Technologies in F Hosam, AA Tayeb, K Alghatani, SA El-seoud International Journal of Emerging Technologies in Learning (iJET)-Volume 8 …, 2013 | 6 | 2013 |
| Predicting Out-of-Hospital Vital Sign Measurements through Deep Learning K Alghatani, A Rezgui, N Ammar 2023 IEEE Symposium on Computers and Communications (ISCC), 1-4, 2023 | 1 | 2023 |
| Cloud-Based Intelligent Remote Patient Monitoring K Alghatani New Mexico Institute of Mining and Technology, 2020 | | 2020 |
| 2023 IEEE Symposium on Computers and Communications (ISCC) SB Shuvo, S Bagga, Z Kobti, CY Xie, H Shahriar, K Alghatani, A Rezgui, ... | | |
