| Machine learning techniques for mortality prediction in emergency departments: a systematic review A Naemi, T Schmidt, M Mansourvar, M Naghavi-Behzad, A Ebrahimi, ... BMJ open 11 (11), e052663, 2021 | 26 | 2021 |
| Application of machine learning techniques for predicting survival in ovarian cancer A Sorayaie Azar, S Babaei Rikan, A Naemi, J Bagherzadeh Mohasefi, ... BMC medical informatics and decision making 22 (1), 345, 2022 | 18 | 2022 |
| Predicting the risk of alcohol use disorder using machine learning: a systematic literature review A Ebrahimi, UK Wiil, T Schmidt, A Naemi, AS Nielsen, GM Shaikh, ... IEEE Access 9, 151697-151712, 2021 | 10 | 2021 |
| Monkeypox detection using deep neural networks A Sorayaie Azar, A Naemi, S Babaei Rikan, J Bagherzadeh Mohasefi, ... BMC Infectious Diseases 23 (1), 438, 2023 | 9 | 2023 |
| Quantifying the impact of addressing data challenges in prediction of length of stay A Naemi, T Schmidt, M Mansourvar, A Ebrahimi, UK Wiil BMC Medical Informatics and Decision Making 21, 1-13, 2021 | 9 | 2021 |
| Personalized predictive models for identifying clinical deterioration using LSTM in emergency departments A Naemi, T Schmidt, M Mansourvar, UK Wiil Integrated Citizen Centered Digital Health and Social Care, 152, 2020 | 6 | 2020 |
| Informal-to-formal word conversion for persian language using natural language processing techniques A Naemi, M Mansourvar, M Naemi, B Damirchilu, A Ebrahimi, U Kock Wiil Proceedings of the 2021 2nd International Conference on Computing, Networks …, 2021 | 4 | 2021 |
| Prediction of Patients Severity at Emergency Department Using NARX and Ensemble Learning A Naemi, M Mansourvar, T Schmidt, UK Wiil 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 4 | 2020 |
| Effectiveness of smart training on self-efficacy and self-regulation in science course of Fifth Grade students of primary schools AM Naemi, A Naemi International Journal of Educational and Psychological Researches 3 (1), 46-52, 2017 | 4 | 2017 |
| Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods A Ebrahimi, UK Wiil, A Naemi, M Mansourvar, K Andersen, AS Nielsen BMC Medical Informatics and Decision Making 22 (1), 304, 2022 | 3 | 2022 |
| Deep Neural Network to Identify Patients with Alcohol Use Disorder. A Ebrahimi, UK Wiil, M Mansourvar, A Naemi, K Andersen, AS Nielsen MIE, 238-242, 2021 | 3 | 2021 |
| Forecasting the COVID-19 Spread in Iran, Italy, and Mexico Using Novel Nonlinear Autoregressive Neural Network and ARIMA-Based Hybrid Models A Naemi, M Naemi, RZ Ekbatani, T Schmidt, A Ebrahimi, M Mansourvar, ... Smart and Sustainable Technology for Resilient Cities and Communities, 119-135, 2022 | 2 | 2022 |
| Modeling and evaluating the impact of social restrictions on the spread of COVID-19 using machine learning M Naemi, A Naemi, RZ Ekbatani, A Ebrahimi, T Schmidt, UK Wiil Smart and sustainable technology for resilient cities and communities, 107-118, 2022 | 2 | 2022 |
| Prediction of length of stay using vital signs at the admission time in emergency departments A Naemi, T Schmidt, M Mansourvar, A Ebrahimi, UK Wiil Innovation in Medicine and Healthcare: Proceedings of 9th KES-InMed 2021 …, 2021 | 2 | 2021 |
| Analysis of comorbidities of alcohol use disorder A Ebrahimi, UK Wiil, M Mansourvar, A Naemi, K Andersen, AS Nielsen 2021 IEEE Symposium on Computers and Communications (ISCC), 1-7, 2021 | 1 | 2021 |
| Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques S Babaei Rikan, A Sorayaie Azar, A Naemi, J Bagherzadeh Mohasefi, ... Scientific Reports 14 (1), 2371, 2024 | | 2024 |
| Predictive Models for Identifying Clinical Deterioration A Naemi | | 2022 |
