| NYU-EDA in modelling the effect of COVID-19 on patient volumes in a Finnish emergency department J Tuominen, V Hällberg, N Oksala, A Palomäki, T Lukkarinen, A Roine BMC Emergency Medicine 20, 1-7, 2020 | 20 | 2020 |
| Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach J Tuominen, F Lomio, N Oksala, A Palomäki, J Peltonen, H Huttunen, ... BMC medical informatics and decision making 22 (1), 134, 2022 | 18 | 2022 |
| Tumor margins that lead to reoperation in breast cancer: A retrospective register study of 4,489 patients M Lepomäki, U Karhunen‐Enckell, J Tuominen, P Kronqvist, N Oksala, ... Journal of Surgical Oncology 125 (4), 577-588, 2022 | 9 | 2022 |
| Early warning software for emergency department crowding J Tuominen, T Koivistoinen, J Kanniainen, N Oksala, A Palomäki, A Roine Journal of Medical Systems 47 (1), 66, 2023 | 5 | 2023 |
| Differential mobility spectrometry imaging for pathological applications A Kontunen, J Tuominen, M Karjalainen, O Anttalainen, T Tolonen, ... Experimental and Molecular Pathology 117, 104526, 2020 | 5 | 2020 |
| Forecasting emergency department occupancy with advanced machine learning models and multivariable input J Tuominen, E Pulkkinen, J Peltonen, J Kanniainen, N Oksala, ... International Journal of Forecasting, 2023 | 1 | 2023 |
| Emergency department crowding increases 10-day mortality for non-critical patients: a retrospective observational study A Eidstø, J Ylä-Mattila, J Tuominen, H Huhtala, A Palomäki, T Koivistoinen Internal and Emergency Medicine 19 (1), 175-181, 2024 | | 2024 |
| Forecasting Emergency Department Crowding with Advanced Machine Learning Models and Multivariable Input J Tuominen, E Pulkkinen, J Peltonen, J Kanniainen, N Oksala, ... arXiv preprint arXiv:2308.16544, 2023 | | 2023 |
