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Uffe Kock Wiil
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Publications
- 2024
- [i2]Ricco Noel Hansen Flyckt, Louise Sjodsholm, Margrethe Høstgaard Bang Henriksen, Claus Lohman Brasen, Ali Ebrahimi, Ole Hilberg, Torben Frøstrup Hansen, Uffe Kock Wiil, Lars Henrik Jensen, Abdolrahman Peimankar:
Pulmonologists-Level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach. CoRR abs/2402.09596 (2024) - 2023
- [j39]Ali Ebrahimi, Uffe Kock Wiil, Ruben Baskaran, Abdolrahman Peimankar, Kjeld Andersen, Anette Søgaard Nielsen:
AUD-DSS: a decision support system for early detection of patients with alcohol use disorder. BMC Bioinform. 24(1): 329 (2023) - [j38]Abdolrahman Peimankar, Trine Straarup Winther, Ali Ebrahimi, Uffe Kock Wiil:
A Machine Learning Approach for Walking Classification in Elderly People with Gait Disorders. Sensors 23(2): 679 (2023) - [c88]Julie Dittmann Weimar Andersen, Marcus Lomstein Jensen, Uffe Kock Wiil, Søren Skovbakke, Ole Skov, Susanne S. Pedersen, Abdolrahman Peimankar, Ali Ebrahimi:
Transformers for Detection of Distressed Cardiac Patients with an ICD Based on Danish Text Messages. BIBM 2023: 4275-4281 - 2022
- [j37]Ruben Baskaran, Karim Møller, Uffe Kock Wiil, Mikkel Brabrand:
Using Facial Landmark Detection on Thermal Images as a Novel Prognostic Tool for Emergency Departments. Frontiers Artif. Intell. 5: 815333 (2022) - [j36]Masud Shah Jahan, Marjan Mansourvar, Sadasivan Puthusserypady, Uffe Kock Wiil, Abdolrahman Peimankar:
Short-term atrial fibrillation detection using electrocardiograms: A comparison of machine learning approaches. Int. J. Medical Informatics 163: 104790 (2022) - [j35]Ali Ebrahimi, Uffe Kock Wiil, Amin Naemi, Marjan Mansourvar, Kjeld Andersen, Anette Søgaard Nielsen:
Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods. BMC Medical Informatics Decis. Mak. 22(1): 304 (2022) - [j34]Amir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, Jamshid Bagherzadeh Mohasef, Habibollah Pirnejad, Matin Bagherzadeh Mohasefi, Uffe Kock Wiil:
Application of machine learning techniques for predicting survival in ovarian cancer. BMC Medical Informatics Decis. Mak. 22(1): 345 (2022) - 2021
- [j33]Ali Ebrahimi, Uffe Kock Wiil, Thomas Schmidt, Amin Naemi, Anette Søgaard Nielsen, Ghulam Mujtaba Shaikh, Marjan Mansourvar:
Predicting the Risk of Alcohol Use Disorder Using Machine Learning: A Systematic Literature Review. IEEE Access 9: 151697-151712 (2021) - [j32]Vidya K. Sudarshan, Mikkel Brabrand, Troels Martin Range, Uffe Kock Wiil:
Performance evaluation of Emergency Department patient arrivals forecasting models by including meteorological and calendar information: A comparative study. Comput. Biol. Medicine 135: 104541 (2021) - [j31]Amin Naemi, Thomas Schmidt, Marjan Mansourvar, Ali Ebrahimi, Uffe Kock Wiil:
Quantifying the impact of addressing data challenges in prediction of length of stay. BMC Medical Informatics Decis. Mak. 21(1): 298 (2021) - [c85]Amin Naemi, Marjan Mansourvar, Mostafa Naemi, Bahman Damirchilu, Ali Ebrahimi, Uffe Kock Wiil:
Informal-to-Formal Word Conversion for Persian Language Using Natural Language Processing Techniques. CNIOT 2021: 19:1-19:7 - [c84]Ali Ebrahimi, Uffe Kock Wiil, Marjan Mansourvar, Amin Naemi, Kjeld Andersen, Anette Søgaard Nielsen:
Analysis of Comorbidities of Alcohol Use Disorder. ISCC 2021: 1-7 - [c83]Ali Ebrahimi, Uffe Kock Wiil, Marjan Mansourvar, Amin Naemi, Kjeld Andersen, Anette Søgaard Nielsen:
Deep Neural Network to Identify Patients with Alcohol Use Disorder. MIE 2021: 238-242 - 2020
- [c82]Amin Naemi, Marjan Mansourvar, Thomas Schmidt, Uffe Kock Wiil:
Prediction of Patients Severity at Emergency Department Using N and Ensemble Learning ARX. BIBM 2020: 2793-2799 - [c81]Amin Naemi, Thomas Schmidt, Marjan Mansourvar, Uffe Kock Wiil:
Personalized Predictive Models for Identifying Clinical Deterioration Using LSTM in Emergency Departments. EFMI-STC 2020: 152-156 - [c80]Thomas Schmidt, Uffe Kock Wiil:
Challenges and Recommendations for Implementing a Novel Patient Monitoring System for Emergency Departments. ICHI 2020: 1-6 - [c79]Ali Ebrahimi, Uffe Kock Wiil, Kjeld Andersen, Marjan Mansourvar, Anette Søgaard Nielsen:
A Predictive Machine Learning Model to Determine Alcohol Use Disorder. ISCC 2020: 1-7 - 2019
- [c77]Ali Ebrahimi, Anette Søgaard Nielsen, Uffe Kock Wiil, Marjan Mansourvar:
The Prediction of Alcohol Use Disorder: A Scoping Review. ISCC 2019: 1062-1067 - [c76]Thomas Schmidt, Mikkel Brabrand, Annmarie Touborg Lassen, Uffe Kock Wiil:
Design and Evaluation of a Patient Monitoring Dashboard for Emergency Departments. MedInfo 2019: 788-792 - 2018
- [c75]Marjan Mansourvar, Karen Andersen-Ranberg, Christian Nøhr, Uffe Kock Wiil:
A Predictive Model for Acute Admission in Aged Population. MIE 2018: 96-100 - 2016
- [c72]Thomas Schmidt, Annmarie Lassen, Uffe Kock Wiil:
Occurrence of elevated shock index in acute patients and development of a proportional shock index metric. EMBC 2016: 2411-2414 - [c71]Thomas Schmidt, Annmarie Lassen, Uffe Kock Wiil:
A Patient Deterioration Warning System for Boosting Situational Awareness of Monitored Patients. ICHI 2016: 129-138 - 2015
- [j29]Thomas Schmidt, Uffe Kock Wiil:
Identifying patients at risk of deterioration in the Joint Emergency Department. Cogn. Technol. Work. 17(4): 529-545 (2015) - [c69]Thomas Schmidt, Uffe Kock Wiil:
A 3-Staged Approach to Identifying Patients at Risk of Deterioration in Emergency Departments. HEALTHINF 2015: 470-477 - [c68]Thomas Schmidt, John Hallam, Annmarie Lassen, Uffe Kock Wiil:
Clustering Emergency Department patients - an assessment of group normality. EMBC 2015: 6824-6829
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