Comparison of artificial intelligence and machine learning algorithms as a predictor of surgical outcomes in benign prostatic hyperlasia cases (BPH)

Dalila B. Megherbi; A. J. Boulenouar; N. Kaula; D. Tracy; S. M. Lodhi; C. Dixon

doi:10.1117/12.434234

20 July 2001 Comparison of artificial intelligence and machine learning algorithms as a predictor of surgical outcomes in benign prostatic hyperlasia cases (BPH)

Dalila B. Megherbi, A. J. Boulenouar, N. Kaula, D. Tracy, S. M. Lodhi, C. Dixon

Author Affiliations +

Proceedings Volume 4389, Component and Systems Diagnostics, Prognosis, and Health Management; (2001) https://doi.org/10.1117/12.434234
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

Predicting the clinical outcome prior to minimally invasive treatments for Benign Prostatic Hperlasia (BPH) cases would be very useful. However, clinical prediction has not been reliable in spite of multiple assessment parameters such as symptom indices and flow rates. In this study, Artificial Intelligence (AI) algorithms are used to train computers to predict the surgical outcome in BPH patients treated by TURP or VLAP. Our aim is to investigate whether AI can reproduce the clinical outcome of known cases and assist the urologist in predicting surgical outcomes. Four different AI algorithms are used.

Citation Download Citation

Dalila B. Megherbi, A. J. Boulenouar, N. Kaula, D. Tracy, S. M. Lodhi, and C. Dixon "Comparison of artificial intelligence and machine learning algorithms as a predictor of surgical outcomes in benign prostatic hyperlasia cases (BPH)", Proc. SPIE 4389, Component and Systems Diagnostics, Prognosis, and Health Management, (20 July 2001); https://doi.org/10.1117/12.434234

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