基本信息
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职业迁徙
个人简介
He has expertise as a clinician-scientist in developing and evaluating clinical prediction models using traditional biostatistics and machine learning approaches. These “individualized” patient-centered prediction tools aim to improve decision-making regarding the prevention of lower urinary tract symptoms (LUTS) and other pelvic floor disorders after childbirth (PMID:29056536), de novo stress urinary incontinence and other patient-perceived outcomes after pelvic organ prolapse surgery, risk of transfusion during gynecologic surgery, and urinary outcomes after mid-urethral sling surgery (PMID: 26942362). He also has significant expertise in leading trans-disciplinary teams through NIH-funded multi-center research networks and international settings.
研究兴趣
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Sean R. Meyer, Alissa Carver,Hyeon Joo, Kartik K. Venkatesh,J. Eric Jelovsek, Thomas T. Klumpner,Karandeep Singh
Nicoleta J. Economou-Zavlanos, Sophia Bessias,Michael P. Cary Jr,Armando D. Bedoya,Benjamin A. Goldstein,John E. Jelovsek, Cara L. O'Brien, Nancy Walden,Matthew Elmore,Amanda B. Parrish,Scott Elengold,Kay S. Lytle,
Physical therapyno. 9 (2023)
UROGYNECOLOGYno. 8 (2022): 526-532
Isabel V Rodriguez, Paige McKeithan Cisa,Karen Monuszko,Julia Salinaro,Ashraf S Habib,J Eric Jelovsek,Laura J Havrilesky,Brittany Davidson
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