33 Forecasting Daily Patient Arrivals during COVID-19 in Emergency Departments: A Deep Learning Approach
Etu, E.-E., Monplaisir, L., Aguwa, C., Arslanturk, S., Masoud, S., Krupp, S., Shih, D., Miller, J.
Published in Annals of emergency medicine (01.10.2021)
Published in Annals of emergency medicine (01.10.2021)
Get full text
Journal Article
203 An Ensemble Learning Approach to Predict Non-ST-Segment Elevation Myocardial Infarction in Patients With Clinical Concerns for Acute Coronary Syndrome
Emakhu, J., Monplaisir, L., Aguwa, C., Arslanturk, S., Masoud, S., Hamam, M., Nassereddine, H., Jourdan, D., Miller, J.
Published in Annals of emergency medicine (01.10.2021)
Published in Annals of emergency medicine (01.10.2021)
Get full text
Journal Article
117 Impact of Air Pollutants on Deep Learning Forecasting of Emergency Department Patient Arrivals
Etu, E.-E., Miller, J., Bissonette, A., Masoud, S., Arslanturk, S., Emakhu, J., Tenebe, T., Wilson, C., Nour, M., Monplaisir, L., Nehme, J.
Published in Annals of emergency medicine (01.10.2022)
Published in Annals of emergency medicine (01.10.2022)
Get full text
Journal Article
Res-CR-Net, a residual network with a novel architecture optimized for the semantic segmentation of microscopy images
Abdallah, Hassan, Formosa, Brent, Liyanaarachchi, Asiri, Saigh, Maranda, Silvers, Samantha, Arslanturk, Suzan, Taatjes, Douglas J, Larsson, Lars, Jena, Bhanu P, Gatti, Domenico L
Published in Machine learning: science and technology (01.12.2020)
Published in Machine learning: science and technology (01.12.2020)
Get full text
Journal Article