Automated Extraction of Grade, Stage, and Quality Information From Transurethral Resection of Bladder Tumor Pathology Reports Using Natural Language Processing-Reference-Cited by-同舟云学术

Automated Extraction of Grade, Stage, and Quality Information From Transurethral Resection of Bladder Tumor Pathology Reports Using Natural Language Processing

Published:2019-06 Issue:2019 Volume: Page:1-6
ISSN:2473-4284
Container-title:JCO Precision Oncology
language:en
Short-container-title:JCO Precision Oncology

Author:

Glaser Alexander P.¹²,Jordan Brian J.¹²,Cohen Jason¹,Desai Anuj¹,Silberman Philip³,Meeks Joshua J.¹²

Affiliation:

1. Feinberg School of Medicine, Northwestern University, Chicago, IL

2. Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL

3. Northwestern University Clinical and Translational Sciences Institute, Northwestern University, Chicago, IL

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

Link

http://ascopubs.org/doi/pdfdirect/10.1200/PO.17.00128.2019.test

Reference18 articles.

1. The Economics of Bladder Cancer: Costs and Considerations of Caring for This Disease

2. Clinical Outcome in a Contemporary Series of Restaged Patients with Clinical T1 Bladder Cancer

3. Impact of Routine Second Transurethral Resection on the Long-Term Outcome of Patients with Newly Diagnosed pT1 Urothelial Carcinoma with Respect to Recurrence, Progression Rate, and Disease-Specific Survival: A Prospective Randomised Clinical Trial

4. Early Stage Bladder Cancer: Do Pathology Reports Tell Us What We Need to Know?

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