Utilizing Natural Language Processing (NLP) to identify breast cancer associated-lung metastases from pathology reports to delineate characteristics and challenges of this common site of breast cancer recurrence.

被引:0
|
作者
Lopez, Jose Carlos Valentin
Ho, Alice Y.
Moy, Beverly
Isakoff, Steven J.
Juric, Dejan
Ellisen, Leif W.
Peppercorn, Jeffrey M.
Bardia, Aditya
Hughes, Kevin S.
Vidula, Neelima
机构
[1] Univ Minnesota, Minneapolis, MN USA
[2] Massachusetts Gen Hosp, Boston, MA USA
[3] Massachusetts Gen Hosp, Canc Ctr, Boston, MA USA
[4] Harvard Med Sch, Massachusetts Gen Hosp, Canc Ctr, Boston, MA USA
关键词
D O I
暂无
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
e13592
引用
收藏
页数:1
相关论文
共 11 条
  • [1] Using natural language processing and machine learning to identify breast cancer local recurrence
    Zeng, Zexian
    Espino, Sasa
    Roy, Ankita
    Li, Xiaoyu
    Khan, Seema A.
    Clare, Susan E.
    Jiang, Xia
    Neapolitan, Richard
    Luo, Yuan
    BMC BIOINFORMATICS, 2018, 19
  • [2] Using natural language processing and machine learning to identify breast cancer local recurrence
    Zexian Zeng
    Sasa Espino
    Ankita Roy
    Xiaoyu Li
    Seema A. Khan
    Susan E. Clare
    Xia Jiang
    Richard Neapolitan
    Yuan Luo
    BMC Bioinformatics, 19
  • [3] Development and validation of natural language processing (NLP) algorithm for detection of distant versus local breast cancer recurrence and metastatic site.
    Karimi, Yasmin
    Blayney, Douglas W.
    Kurian, Allison W.
    Rubin, Daniel
    Banerjee, Imon
    JOURNAL OF CLINICAL ONCOLOGY, 2020, 38 (15)
  • [4] Natural language processing for automated breast cancer recurrence detection and classification in computed tomography reports
    Lee, Jaimie
    Zepeda, Andres
    Arbour, Gregory
    Isaac, Kathryn V.
    Ng, Raymond T.
    Nichol, Alan
    JOURNAL OF CLINICAL ONCOLOGY, 2024, 42 (16)
  • [5] Development and Validation of a Natural Language Processing Algorithm for Extracting Clinical and Pathological Features of Breast Cancer From Pathology Reports
    Munzone, Elisabetta
    Marra, Antonio
    Comotto, Federico
    Guercio, Lorenzo
    Sangalli, Claudia Anna
    Lo Cascio, Martina
    Pagan, Eleonora
    Sangalli, Davide
    Bigoni, Ilaria
    Porta, Francesca Maria
    D'Ercole, Marianna
    Ritorti, Fabiana
    Bagnardi, Vincenzo
    Fusco, Nicola
    Curigliano, Giuseppe
    JCO CLINICAL CANCER INFORMATICS, 2024, 8
  • [6] Leveraging natural language processing for efficient information extraction from breast cancer pathology reports: Single-institution study
    Park, Phillip
    Choi, Yeonho
    Han, Nayoung
    Park, Ye-Lin
    Hwang, Juyeon
    Chae, Heejung
    Yoo, Chong Woo
    Choi, Kui Son
    Kim, Hyun-Jin
    PLOS ONE, 2025, 20 (02):
  • [7] Identifying Cancer Recurrence from the Electronic Medical Record: Using Natural Language Processing to Interpret Pathology Reports
    Bayona, D.
    Ebner, D. K.
    Weiskittle, T. M.
    Talom, B. C. Kamdem
    Kowalchuk, R. O.
    Breen, W.
    Routman, D. M.
    Waddle, M. R.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2024, 120 (02): : E611 - E611
  • [8] Anatomic stage extraction from medical reports of breast Cancer patients using natural language processing
    Pratiksha R. Deshmukh
    Rashmi Phalnikar
    Health and Technology, 2020, 10 : 1555 - 1570
  • [9] Anatomic stage extraction from medical reports of breast Cancer patients using natural language processing
    Deshmukh, Pratiksha R.
    Phalnikar, Rashmi
    HEALTH AND TECHNOLOGY, 2020, 10 (06) : 1555 - 1570
  • [10] Development of an algorithm using natural language processing to identify metastatic breast cancer patients from clinical notes.
    Swaminathan, Krishna Kumar
    Mendonca, Emma
    Mukherjee, Pranay
    Thirumalai, Karpagavalli
    Newsome, Rachel
    Narayanan, Babu
    JOURNAL OF CLINICAL ONCOLOGY, 2020, 38 (15)