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Machine learning based prediction of clinical deterioration in general wards
2022.01.26 |
| Date | Thu 10 Feb |
| Time | 14:00 — 16:00 |
| Location | Auditoriet, Nye Nord Regionshospitalet Horsens, Sundvej 30, Horsens and online |
On Thursday 10 February at 14:00, Simon Meyer Lauritsen defends his PhD dissertation entitled "Machine learning based prediction of clinical deterioration in general wards".
Acute clinical deterioration, if untreated, can lead to adverse events such as intensive care unit admission, organ failure or death. However, early signs of acute clinical deterioration are often present in the hours preceding these adverse events, which may provide a clinical opportunity to initiate treatment.
A PhD project from Aarhus University, Health, investigates how data-driven methods, such as machine learning, can be used to predict acute clinical deterioration, thereby supporting timely treatment. In the project, an advanced machine learning model has been developed, which is able to predict acute clinical deterioration with high accuracy, as well as to explain the decisions to the system end-users.
The project also focused on:
The summary is written by the PhD student.
The defence is public and takes place in Auditoriet, Nye Nord Regionshospitalet Horsens, Sundvej 30, Horsens and online via Zoom. Please read the attached press release for more information.
PhD student Simon Meyer Lauritsen
Mail: sihl@clin.au.dk
Phone: (+45) 30554920