AUTOMATING LOCAL, REGIONAL, DISTANT RELAPSE IDENTIFICATION IN BREAST CANCER COMPUTED TOMOGRAPHY REPORTS USING NATURAL LANGUAGE PROCESSING

被引：0
|
作者：
Lee, Jaimie [1 ]
Zepeda, Andres [1 ]
Arbour, Gregory [1 ]
Isaac, Kathryn [1 ]
Ng, Raymond [1 ]
Nichol, Alan [1 ]
机构：
[1] Univ British Columbia, Vancouver, BC, Canada
来源：
RADIOTHERAPY AND ONCOLOGY | 2024年 / 198卷
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：
82
引用
收藏
页码：S38 / S38
页数：1
相关论文
共 50 条
  • [31] Regarding the Utility of Unstructured Data and Natural Language Processing for Identification of Breast Cancer Recurrence
    Ritzwoller, Debra P.
    Hassett, Michael J.
    Uno, Hajime
    JCO CLINICAL CANCER INFORMATICS, 2021, 5 : 1024 - 1025
  • [32] Automatic Lung Cancer Staging from Medical Reports Using Natural Language Processing
    Sui, X.
    Liu, T.
    Huang, Q.
    Hou, Y.
    Wang, Y.
    Kang, G.
    Guo, H.
    Li, N.
    Li, Y.
    Wang, Z.
    Wang, J.
    JOURNAL OF THORACIC ONCOLOGY, 2018, 13 (10) : S772 - S772
  • [33] Using Natural Language Processing to Extract Abnormal Results From Cancer Screening Reports
    Moore, Carlton R.
    Farrag, Ashraf
    Ashkin, Evan
    JOURNAL OF PATIENT SAFETY, 2017, 13 (03) : 138 - 143
  • [34] IDENTIFICATION OF IBD COHORTS FROM LINKED ENDOSCOPY AND HISTOLOGY REPORTS USING NATURAL LANGUAGE PROCESSING
    Brown, Jonathan
    Zeki, Sebastian
    GUT, 2019, 68 : A224 - A224
  • [35] Classification and Prediction of Breast Cancer Data derived Using Natural Language Processing
    Rani, Johanna Johnsi G.
    Gladis, Dennis
    Mammen, Joy
    PROCEEDING OF THE THIRD INTERNATIONAL SYMPOSIUM ON WOMEN IN COMPUTING AND INFORMATICS (WCI-2015), 2015, : 250 - 255
  • [36] Automating incidental findings in radiology reports using natural language processing and machine learning to identify and classify pulmonary nodules.
    French, Christi
    Makowski, Maciek
    Terker, Samantha
    Clark, Paul Alexander
    JOURNAL OF CLINICAL ONCOLOGY, 2019, 37 (15)
  • [37] Deep-Transfer-Learning-Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer
    Kim, Sunkyu
    Kim, Seung-seob
    Kim, Eejung
    Cecchini, Michael
    Park, Mi-Suk
    Choi, Ji A.
    Kim, Sung Hyun
    Hwang, Ho Kyoung
    Kang, Chang Moo
    Choi, Hye Jin
    Shin, Sang Joon
    Kang, Jaewoo
    Lee, Choong-kun
    JCO CLINICAL CANCER INFORMATICS, 2024, 8
  • [38] Deep-Transfer-Learning-Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer
    Kim, Sunkyu
    Kim, Seung-seob
    Kim, Eejung
    Cecchini, Michael
    Park, Mi-Suk
    Choi, Ji A.
    Kim, Sung Hyun
    Hwang, Ho Kyoung
    Kang, Chang Moo
    Choi, Hye Jin
    Shin, Sang Joon
    Kang, Jaewoo
    Lee, Choong-kun
    JCO CLINICAL CANCER INFORMATICS, 2024, 8
  • [39] Regarding the Utility of Unstructured Data and Natural Language Processing for Identification of Breast Cancer Recurrence Reply
    Karimi, Yasmin H.
    Kurian, Allison W.
    Blayney, Douglas W.
    Banerjee, Imon
    JCO CLINICAL CANCER INFORMATICS, 2021, 5 : 1026 - 1027
  • [40] HEPATIC STEATOSIS IDENTIFICATION: A COMPREHENSIVE APPROACH USING NATURAL LANGUAGE PROCESSING AND MACHINE LEARNING IN RADIOLOGY REPORTS
    Balogun, Oluwafemi
    Shaikh, Emad Salman
    Mun, Lisa
    Michta, Megan
    Ibrahim, Maryam K.
    Anya, Eugenia Uche
    Corey, Kathleen E.
    GASTROENTEROLOGY, 2024, 166 (05) : S1656 - S1657
12345