| A bibliometric approach to tracking big data research trends A Kalantari, A Kamsin, HS Kamaruddin, NA Ebrahim, A Gani, A Ebrahimi, ... Journal of Big Data 4 (1), 30, 2017 | 97 | 2017 |
| 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 | 8 | 2021 |
| Programming for children:“Alice and Scratch analysis” A Ebrahimi, S Geranzeli, T Shokouhi, ER Tee 3rd International Conference on Emerging Trends of Computer and Information …, 2013 | 8 | 2013 |
| A predictive machine learning model to determine alcohol use disorder A Ebrahimi, UK Wiil, K Andersen, M Mansourvar, AS Nielsen 2020 IEEE Symposium on Computers and Communications (ISCC), 1-7, 2020 | 7 | 2020 |
| The prediction of alcohol use disorder: a scoping review A Ebrahimi, AS Nielsen, UK Will, M Mansourvar 2019 IEEE symposium on computers and communications (ISCC), 1062-1067, 2019 | 7 | 2019 |
| Benchmarking Mi-NER: Malay Entity Recognition Engine T Ulanganathan, A Ebrahimi, BCM Xian, K Bouzekri, R Mahmud, OH Hoe The Ninth International Conference on Information, Process, and Knowledge …, 2017 | 4 | 2017 |
| 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 |
| 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 | 2 | 2021 |
| 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 | 2 | 2021 |
| 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 | 2 | 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 | 1 | 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 | 1 | 2021 |
| Publications on Islamic Studies from 1980 to 2015: An Overview A Ebrahimi, M Akmar Ismail, N Ale Ebrahim, S Jaafar National Symposium on Al-Quran and Hadith Validation System (SAHIH 2016), 1-1, 2016 | 1 | 2016 |
| Recommender Systems for Research Materials: An Overview MA Ismail, Z Moghaddasi, S Sarvari, A Ebrahimi, M Ghrobanian The 4th International Conference on Computer Science and Computational …, 2015 | 1 | 2015 |
| Fabricated information on social media: A Case Study of Twitter A Ebrahimi, MA Ismail, J Salinah, S Awab, R Mahmud, A Ghani, ... The 4th International Conference on Computer Science and Computational …, 2015 | 1 | 2015 |
| A Machine Learning Approach for Walking Classification in Elderly People with Gait Disorders A Peimankar, TS Winther, A Ebrahimi, UK Wiil Sensors 23 (2), 679, 2023 | | 2023 |
| 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 | | 2022 |
| A susceptibility network analysis of disease pathways leading to multiple sclerosis A Manouchehrinia, A Ebrahimi, UK Wiil, NA Kiani, P Lio, T Olsson, ... Multiple Sclerosis Journal 28 (3_suppl), 172-173, 2022 | | 2022 |
| Clinical Factor Identification for 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, 2022 | | 2022 |
| Prediction of Anxiety and Depression in ICD-Patients using Machine Learning Algorithms A Ebrahimi, UK Wiil, A Peimankar, S Skovbakke, O Skov, SS Pedersen Danish Data Science 2022, 2022 | | 2022 |
Uffe Kock WiilProfessor, University of Southern DenmarkVerified email at mmmi.sdu.dk
