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Ali Ebrahimi
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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
972017
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
82021
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
82013
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
72020
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
72019
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
42017
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
22022
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
22021
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
22021
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
22021
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
12022
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
12021
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
12016
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
12015
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
12015
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
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