Share Email Print
cover

Proceedings Paper

Comparison of artificial intelligence and machine learning algorithms as a predictor of surgical outcomes in benign prostatic hyperlasia cases (BPH)
Author(s): Dalila B. Megherbi; A. J. Boulenouar; N. Kaula; D. Tracy; S. M. Lodhi; C. Dixon
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 20 July 2001
PDF: 13 pages
Proc. SPIE 4389, Component and Systems Diagnostics, Prognosis, and Health Management, (20 July 2001); doi: 10.1117/12.434234
Show Author Affiliations
Dalila B. Megherbi, Univ. of Massachusetts/Lowell (United States)
A. J. Boulenouar, Univ. of Massachusetts/Lowell (United States)
N. Kaula, Univ. of Massachusetts/Lowell (United States)
D. Tracy, Univ. of Massachusetts/Lowell (United States)
S. M. Lodhi, Univ. of Massachusetts/Lowell (United States)
C. Dixon, Univ. of Massachusetts/Lowell (United States)


Published in SPIE Proceedings Vol. 4389:
Component and Systems Diagnostics, Prognosis, and Health Management
Peter K. Willett; Thiagalingam Kirubarajan, Editor(s)

© SPIE. Terms of Use
Back to Top