Amin Naemi

According to our database, Amin Naemi authored at least 10 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Application of machine learning techniques for predicting survival in ovarian cancer.

Amir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, Jamshid Bagherzadeh Mohasef, Habibollah Pirnejad, Matin Bagherzadeh Mohasefi, Uffe Kock Wiil

BMC Medical Informatics Decis. Mak., December, 2022

Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods.

Ali Ebrahimi, Uffe Kock Wiil, Amin Naemi, Marjan Mansourvar, Kjeld Andersen, Anette Søgaard Nielsen

BMC Medical Informatics Decis. Mak., 2022

2021

Quantifying the impact of addressing data challenges in prediction of length of stay.

Amin Naemi, Thomas Schmidt, Marjan Mansourvar, Ali Ebrahimi, Uffe Kock Wiil

BMC Medical Informatics Decis. Mak., 2021

Predicting the Risk of Alcohol Use Disorder Using Machine Learning: A Systematic Literature Review.

Ali Ebrahimi, Uffe Kock Wiil, Thomas Schmidt, Amin Naemi, Anette Søgaard Nielsen, Ghulam Mujtaba Shaikh, Marjan Mansourvar

IEEE Access, 2021

Data Vizualization Dashboards in Robotic Rehabilitation.

Christina Liakopoulou, Marjan Mansourvar, Anders Bøgild, Amin Naemi, Anders Stengaard Sørensen

Proceedings of the Public Health and Informatics, 2021

Deep Neural Network to Identify Patients with Alcohol Use Disorder.

Ali Ebrahimi, Uffe Kock Wiil, Marjan Mansourvar, Amin Naemi, Kjeld Andersen, Anette Søgaard Nielsen

Proceedings of the Public Health and Informatics, 2021

Analysis of Comorbidities of Alcohol Use Disorder.

Ali Ebrahimi, Uffe Kock Wiil, Marjan Mansourvar, Amin Naemi, Kjeld Andersen, Anette Søgaard Nielsen

Proceedings of the IEEE Symposium on Computers and Communications, 2021

Informal-to-Formal Word Conversion for Persian Language Using Natural Language Processing Techniques.

Amin Naemi, Marjan Mansourvar, Mostafa Naemi, Bahman Damirchilu, Ali Ebrahimi, Uffe Kock Wiil

Proceedings of the CNIOT 2021: 2nd International Conference on Computing, 2021

2020

Personalized Predictive Models for Identifying Clinical Deterioration Using LSTM in Emergency Departments.

Amin Naemi, Thomas Schmidt, Marjan Mansourvar, Uffe Kock Wiil

Proceedings of the Integrated Citizen Centered Digital Health and Social Care - Citizens as Data Producers and Service co-Creators, 2020

Prediction of Patients Severity at Emergency Department Using N and Ensemble Learning ARX.

Amin Naemi, Marjan Mansourvar, Thomas Schmidt, Uffe Kock Wiil

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020