Thomas Philip Rúnarsson
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View article: Bounding the Likelihood of Exceeding Ward Capacity in Stochastic Surgery Scheduling
Bounding the Likelihood of Exceeding Ward Capacity in Stochastic Surgery Scheduling Open
The stochastic high-patient-throughput surgery scheduling problem under a limited number of staffed ward beds is addressed in this paper. This work proposes a novel way to minimize the risk of last-minute cancellations by bounding the like…
View article: Neonatal seizure detection algorithms: The effect of channel count
Neonatal seizure detection algorithms: The effect of channel count Open
The number of electrodes used to acquire neonatal EEG signals varies between institutions. Therefore, tools for automatic EEG analysis, such as neonatal seizure detection algorithms, need to be able to handle different electrode montages i…
View article: Ensemble learning using individual neonatal data for seizure detection
Ensemble learning using individual neonatal data for seizure detection Open
Sharing medical data between institutions is difficult in practice due to data protection laws and official procedures within institutions. Therefore, most existing algorithms are trained on relatively small electroencephalogram (EEG) data…
View article: Ensemble Learning Using Individual Neonatal Data for Seizure Detection
Ensemble Learning Using Individual Neonatal Data for Seizure Detection Open
Ensemble learning allows training of reliable algorithms for neonatal EEG analysis without a need to share the potentially sensitive EEG data between institutions.