Regarding the Utility of Unstructured Data and Natural Language Processing for Identification of Breast Cancer Recurrence-Reference-Cited by-同舟云学术

Regarding the Utility of Unstructured Data and Natural Language Processing for Identification of Breast Cancer Recurrence

Published:2021-09 Issue:5 Volume: Page:1024-1025
ISSN:2473-4276
Container-title:JCO Clinical Cancer Informatics
language:en
Short-container-title:JCO Clinical Cancer Informatics

Author:

Ritzwoller Debra P.¹^ORCID,Hassett Michael J.¹^ORCID,Uno Hajime¹^ORCID

Affiliation:

1. Debra P. Ritzwoller, PhD, Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO; Michael J. Hassett, MD, MPH, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, Harvard Medical School, Boston, MA; and Hajime Uno, PhD, Harvard Medical School, Boston, MA

Publisher

American Society of Clinical Oncology (ASCO)

Subject

General Medicine

Link

https://ascopubs.org/doi/pdfdirect/10.1200/CCI.21.00091

Reference10 articles.

1. Development and Use of Natural Language Processing for Identification of Distant Cancer Recurrence and Sites of Distant Recurrence Using Unstructured Electronic Health Record Data

2. Validating Billing/Encounter Codes as Indicators of Lung, Colorectal, Breast, and Prostate Cancer Recurrence Using 2 Large Contemporary Cohorts

3. Development, Validation, and Dissemination of a Breast Cancer Recurrence Detection and Timing Informatics Algorithm

4. Detecting Lung and Colorectal Cancer Recurrence Using Structured Clinical/Administrative Data to Enable Outcomes Research and Population Health Management

5. Determining the Time of Cancer Recurrence Using Claims or Electronic Medical Record Data

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimated incidence of disruptions to event-free survival from non-metastatic cancers in New South Wales, Australia - a population-wide epidemiological study of linked cancer registry and treatment data;Frontiers in Oncology;2024-08-21

2. Reply to Ritzwoller et al;JCO Clinical Cancer Informatics;2021-09