| Medical speciality classification system based on binary particle swarms and ensemble of one vs. rest support vector machines H Faris, M Habib, M Faris, M Alomari, A Alomari Journal of biomedical informatics 109, 103525, 2020 | 30 | 2020 |
| An intelligent multimodal medical diagnosis system based on patients’ medical questions and structured symptoms for telemedicine H Faris, M Habib, M Faris, H Elayan, A Alomari Informatics in Medicine Unlocked 23, 100513, 2021 | 27 | 2021 |
| Predicting customer retention using XGBoost and balancing methods AM AL-Shatnwai, M Faris International Journal of Advanced Computer Science and Applications 11 (7), 2020 | 25 | 2020 |
| A predictive text system for medical recommendations in telemedicine: a deep learning approach in the Arabic context M Habib, M Faris, R Qaddoura, A Alomari, H Faris IEEE Access 9, 85690-85708, 2021 | 24 | 2021 |
| Altibbivec: a word embedding model for medical and health applications in the Arabic language M Habib, M Faris, A Alomari, H Faris IEEE Access 9, 133875-133888, 2021 | 23 | 2021 |
| Classification of Arabic healthcare questions based on word embeddings learned from massive consultations: a deep learning approach H Faris, M Habib, M Faris, A Alomari, PA Castillo, M Alomari Journal of ambient intelligence and humanized computing 13 (4), 1811-1827, 2022 | 19 | 2022 |
| Toward an automatic quality assessment of voice-based telemedicine consultations: A deep learning approach M Habib, M Faris, R Qaddoura, M Alomari, A Alomari, H Faris Sensors 21 (9), 3279, 2021 | 12 | 2021 |
| Automatic symptoms identification from a massive volume of unstructured medical consultations using deep neural and BERT models H Faris, M Faris, M Habib, A Alomari Heliyon 8 (6), 2022 | 6 | 2022 |
