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Michelle Ferrari

Stanford University

42

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Weakly supervised natural language processing for assessing patient-centered outcome following prostate cancer treatment

2019
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An Automated Feature Engineering for Digital Rectal Examination Documentation using Natural Language Processing.

2018 AMIA | American Medical Informatics Association Annual Symposium
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Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate cancer Treatment.

2017 AMIA | American Medical Informatics Association Annual Symposium
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Temporal Trends in Clinical and Pathological Characteristics for Men Undergoing Radical Prostatectomy Between 1995 and 2013 at Rigshospitalet, Copenhagen, Denmark, and Stanford University Hospital, United States

2017 Clinical Genitourinary Cancer
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The CPC risk calculator app: A validated tool to predict recurrence after radical prostatectomy.

2017 European Urology Supplements
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A natural language processing algorithm to measure quality prostate cancer care.

2017 Journal of Clinical Oncology
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Biologic differences between peripheral and transition zone prostate cancer

2015 The Prostate
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Matched comparison of robot-assisted, laparoscopic and open radical prostatectomy regarding pathologic and oncologic outcomes in obese patients.

2015 World Journal of Urology
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Propensity Score Vergleich der verschiedenen radikalen Operationstechniken beim high risk Prostatakarzinom

2014 Aktuelle Urologie
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Higher rates of upgrading and upstaging in older patients undergoing radical prostatectomy and qualifying for active surveillance

2014 BJUI
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Citations (29)