A two-stage MLP detects urological events in vesical pressure signals with 84% accuracy for voiding versus non-voiding and 90% for abdominal versus detrusor overactivity on external validation data.
Investigating the mental health of university students during the COVID-19 pandemic in a UK university: a machine learning approach using feature permutation importance
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Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets
A two-stage MLP detects urological events in vesical pressure signals with 84% accuracy for voiding versus non-voiding and 90% for abdominal versus detrusor overactivity on external validation data.