Search Results - "Parekattil, S J"
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Neural network using combined urine nuclear matrix protein-22, monocyte chemoattractant protein-1 and urinary intercellular adhesion molecule-1 to detect bladder cancer
Published in The Journal of urology (01-03-2003)“…We developed a neural network to identify patients with bladder cancer more effectively than hematuria and cytology. The algorithm is based on combined urine…”
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Management of Chronic Orchialgia: Challenges and Solutions - The Current Standard of Care
Published in Research and reports in urology (01-01-2020)“…Chronic scrotal content pain (CSP) or chronic orchialgia can be debilitating for patients and difficult to treat. There is a paucity of structured treatment…”
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Ammonium-chloride-induced prostatic hypertrophy in vitro: urinary ammonia as a potential risk factor for benign prostatic hyperplasia
Published in Urolithiasis (01-10-1999)“…To test the possibility that urinary ammonia could be a risk factor for benign prostatic hyperplasia (BPH), we explored the cellular effects of ammonium…”
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Model to predict if a vasoepididymostomy will be required for vasectomy reversal
Published in The Journal of urology (01-05-2005)“…We devised a model to predict, preoperatively, the need for a vasoepididymostomy (VE) when performing a vasectomy reversal. Urologists could use it to identify…”
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External validation of outcome prediction model for ureteral/renal calculi
Published in The Journal of urology (01-02-2006)“…We externally validated a previously designed neural network model to predict outcome and duration of passage for ureteral/renal calculi. The model was also…”
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Multi-institutional validation of vasectomy reversal predictor
Published in The Journal of urology (01-01-2006)“…Some urologists who perform vasectomy reversals are not experienced with performing VE. A model to preoperatively identify patients who may require referral to…”
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A computer model to predict the outcome and duration of ureteral or renal calculous passage
Published in The Journal of urology (01-04-2004)“…We developed a computer model to predict the outcome and the duration until passage of ureteral/renal calculi. A retrospective, randomized study was performed…”
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Multi-institutional validation study of neural networks to predict duration of stay after laparoscopic radical/simple or partial nephrectomy
Published in The Journal of urology (01-10-2005)“…We developed models to predict post-laparoscopic radical or simple nephrectomy (LapNx) and post-laparoscopic partial nephrectomy (LapPNx) hospital duration of…”
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