| Comparing the Impact of COVID-19 on Nurses’ Turnover Intentions before and during the Pandemic in Qatar AJ Nashwan, AA Abujaber, RC Villar, A Nazarene, MM Al-Jabry, ... Journal of personalized medicine 11 (6), 456, 2021 | 123 | 2021 |
| The lived experiences of frontline nurses during the coronavirus disease 2019 (COVID‐19) pandemic in Qatar: A qualitative study RC Villar, AJ Nashwan, RG Mathew, AS Mohamed, S Munirathinam, ... Nursing Open 8 (6), 3516-3526, 2021 | 87 | 2021 |
| Nurses’ willingness to work with COVID‐19 patients: the role of knowledge and attitude AJ Nashwan, AA Abujaber, AS Mohamed, RC Villar, MM Al‐Jabry Nursing open 8 (2), 695-701, 2021 | 83 | 2021 |
| Prediction of in-hospital mortality in patients with post traumatic brain injury using National Trauma Registry and Machine Learning Approach A Abujaber, A Fadlalla, D Gammoh, H Abdelrahman, M Mollazehi, ... Scandinavian journal of trauma, resuscitation and emergency medicine 28, 1-10, 2020 | 50 | 2020 |
| Prediction of in-hospital mortality in patients on mechanical ventilation post traumatic brain injury: machine learning approach A Abujaber, A Fadlalla, D Gammoh, H Abdelrahman, M Mollazehi, ... BMC medical informatics and decision making 20, 1-11, 2020 | 36 | 2020 |
| Quality of life, sleep quality, depression, anxiety, stress, eating habits, and social bounds in nurses during the coronavirus disease 2019 pandemic in Qatar (The PROTECTOR … AJ Nashwan, RC Villar, AR Al-Qudimat, N Kader, M Alabdulla, ... Journal of Personalized Medicine 11 (9), 918, 2021 | 35 | 2021 |
| Using trauma registry data to predict prolonged mechanical ventilation in patients with traumatic brain injury: Machine learning approach AEM Ahmad Abujaber, Adam Fadlalla, Diala Gammoh, Husham Abdelrahman, Monira ... PLoS One 15 (7), e0235231, 2020 | 28 | 2020 |
| Machine Learning Model to Predict Ventilator Associated Pneumonia in patients with Traumatic Brain Injury: The C. 5 Decision Tree Approach A Abujaber, A Fadlalla, D Gammoh, H Al-Thani, A El-Menyar Brain Injury, 1-8, 2021 | 20 | 2021 |
| Ocular manifestations of COVID-19: facts and figures from a tertiary care center N Shaikh, H Al Mahdi, A Pai, A Pathare, AA Abujaber, A Dsliva, ... Annals of Medicine 54 (1), 310-313, 2022 | 18 | 2022 |
| Evaluating psychosocial support needs of female cancer patients in the State of Qatar R Alagraa, A Abujaber, P Chandra, J Doughty Qatar medical journal 2015 (1), 4, 2015 | 18 | 2015 |
| Professional self-concept and self-confidence for nurses dealing with COVID-19 patients NF Allobaney, NF Eshah, AA Abujaber, AJJ Nashwan Journal of personalized medicine 12 (2), 134, 2022 | 17 | 2022 |
| Quality of Life, Sleep Quality AJ Nashwan, RC Villar, AR Al-Qudimat, N Kader, M Alabdulla, ... Depression, Anxiety, Stress, Eating Habits, and Social Bounds in Nurses …, 2019 | 14 | 2019 |
| Harnessing large language models in nursing care planning: opportunities, challenges, and ethical considerations AJ Nashwan, AA Abujaber, A AbuJaber Cureus 15 (6), 2023 | 12 | 2023 |
| Predictors of mortality and morbidity in critically ill COVID‐19 patients: An experience from a low mortality country MY Khatib, DC Ananthegowda, MS Elshafei, H El‐Zeer, WI Abdaljawad, ... Health science reports 5 (3), e542, 2022 | 12 | 2022 |
| Impact of HR retention strategies in healthcare: The case of Qatar A Abujaber, M Katsioloudes Avicenna 2015 (1), 6, 2015 | 11 | 2015 |
| Harnessing the power of large language models (LLMs) for electronic health records (EHRs) optimization AJ Nashwan, AA AbuJaber, A AbuJaber Cureus 15 (7), 2023 | 10 | 2023 |
| Enabling the adoption of machine learning in clinical decision support: A total interpretive structural modeling approach AA Abujaber, AJ Nashwan, A Fadlalla Informatics in Medicine Unlocked 33, 101090, 2022 | 10 | 2022 |
| Predictive value of tyrosine phosphatase receptor gamma for the response to treatment tyrosine kinase inhibitors in chronic myeloid leukemia patients MA Ismail, M Vezzalini, H Morsi, A Abujaber, A Al Sayab, K Siveen, ... Scientific Reports 11 (1), 8833, 2021 | 10 | 2021 |
| Predicting prolonged length of stay in patients with traumatic brain injury: a machine learning approach A Abujaber, A Fadlalla, A Nashwan, A El-Menyar, H Al-Thani Intelligence-Based Medicine 6, 100052, 2022 | 9 | 2022 |
| Balanced scorecard-based hospital performance measurement framework: a performance construct development approach AAA Jaber, AJ Nashwan, A AbuJaber Cureus 14 (5), 2022 | 8 | 2022 |
Abdulqadir J. NashwanAssistant Executive Director of Nursing & Midwifery ResearchVerified email at hamad.qa
