Pattern recognition algorithm to identify detrusor overactivity on urodynamics

Aims Detrusor overactivity (DO) of the bladder is a finding on urodynamic studies (UDS) that often correlates with lower urinary tract symptoms and drives management. However, UDS interpretation remains nonstandardized. We sought to develop a mathematical model to reliably identify DO in UDS. Method...

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Veröffentlicht in:	Neurourology and urodynamics Jg. 40; H. 1; S. 428 - 434
Hauptverfasser:	Wang, Hsin‐Hsiao Scott, Cahill, Dylan, Panagides, John, Nelson, Caleb P., Wu, Hau‐Tieng, Estrada, Carlos
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Wiley Subscription Services, Inc 01.01.2021
Schlagworte:	Algorithms Cough detrusor overactivity Learning algorithms Machine learning Mathematical models Pattern recognition Prediction models Pressure Signal processing Standardization Urinary tract urodynamics urodynamics machine learning detrusor overactivity pattern recognition
ISSN:	0733-2467, 1520-6777, 1520-6777
Online-Zugang:	Volltext
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