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

作者信息

Ritzwoller Debra P, Hassett Michael J, Uno Hajime

机构信息

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.

出版信息

JCO Clin Cancer Inform. 2021 Sep;5:1024-1025. doi: 10.1200/CCI.21.00091.

DOI:10.1200/CCI.21.00091
PMID:34637320
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9848577/
Abstract
摘要

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Spending for Advanced Cancer Diagnoses: Comparing Recurrent Versus De Novo Stage IV Disease.晚期癌症诊断支出:复发与初诊 IV 期疾病比较。
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Performance of Cancer Recurrence Algorithms After Coding Scheme Switch From International Classification of Diseases 9th Revision to International Classification of Diseases 10th Revision.编码方案从《国际疾病分类》第九版转换为第十版后癌症复发算法的性能
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JCO Clin Cancer Inform. 2018 Dec;2:1-10. doi: 10.1200/CCI.17.00163.
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