Natural Language Processing to Abstract Preneoplastic and Incidental Pulmonary Lesions from Pathology Reports

被引：0
|
作者：
Petricca, J. [1 ,2 ]
French, C. [2 ]
Ajaj, R. [2 ]
Zelifan, A. [2 ]
Grant, B. [2 ]
Zhan, L. [2 ]
Zhang, Y. [2 ]
Thakral, A. [2 ]
Nicholls, D. [2 ]
Hsu, Y. -H. R. [2 ]
Pal, P. [2 ]
Cabanero, M. [2 ]
Tsao, M. S. [2 ]
Liu, G. [1 ,2 ]
机构：
[1] Univ Toronto, Toronto, ON, Canada
[2] Princess Margaret Canc Ctr, Toronto, ON, Canada
来源：
JOURNAL OF THORACIC ONCOLOGY | 2022年 / 17卷 / 09期
关键词：
Preneoplasia; non-small cell lung cancer (NSCLC); Natural Language Processing (NLP);
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
EP11.02-00
引用
收藏
页码：S515 / S515
页数：1
相关论文
共 50 条
  • [41] T-staging pulmonary oncology from radiological reports using natural language processing: translating into a multi-language setting
    Nobel, J. Martijn
    Puts, Sander
    Weiss, Jakob
    Aerts, Hugo J. W. L.
    Mak, Raymond H.
    Robben, Simon G. F.
    Dekker, Andre L. A. J.
    INSIGHTS INTO IMAGING, 2021, 12 (01)
  • [42] USING NATURAL LANGUAGE PROCESSING TO ACCURATELY IDENTIFY DYSPLASIA IN PATHOLOGY REPORTS FOR PATIENTS WITH BARRETT'S ESOPHAGUS
    Thrift, Aaron P.
    Natarajan, Yamini
    Mansour, Nabil M.
    Wang, Jingqi
    Xu, Hua
    Hou, Jason K.
    El-Serag, Hashem B.
    GASTROENTEROLOGY, 2018, 154 (06) : S896 - S897
  • [43] Using Natural Language Processing to Automatically Identify Dysplasia in Pathology Reports for Patients With Barrett's Esophagus
    Wenker, Theresa Nguyen
    Natarajan, Yamini
    Caskey, Kadon
    Novoa, Francisco
    Mansour, Nabil
    Pham, Huy Anh
    Hou, Jason K.
    El-Serag, Hashem B.
    Thrift, Aaron P.
    CLINICAL GASTROENTEROLOGY AND HEPATOLOGY, 2023, 21 (05) : 1198 - 1204
  • [44] Deep learning for natural language processing of free-text pathology reports: a comparison of learning curves
    Senders, Joeky T.
    Cote, David J.
    Mehrtash, Alireza
    Wiemann, Robert
    Gormley, William B.
    Smith, Timothy R.
    Broekman, Marike L. D.
    Arnaout, Omar
    BMJ INNOVATIONS, 2020, 6 (04) : 192 - 198
  • [45] 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):
  • [46] QUANTITATIVE IMAGE-ANALYSIS IN PULMONARY PATHOLOGY - DIGITALIZATION OF PRENEOPLASTIC LESIONS IN HUMAN BRONCHIAL EPITHELIUM
    STEINBACH, T
    MULLER, KM
    KAMPER, H
    MICROSCOPICA ACTA, 1979, : 171 - 178
  • [47] Natural language processing for aviation safety reports: From classification to interactive analysis
    Tanguy, Ludovic
    Tulechki, Nikola
    Urieli, Assaf
    Hermann, Eric
    Raynal, Celine
    COMPUTERS IN INDUSTRY, 2016, 78 : 80 - 95
  • [48] Natural Language Processing for the Identification of Silent Brain Infarcts From Neuroimaging Reports
    Fu, Sunyang
    Leung, Lester Y.
    Wang, Yanshan
    Raulli, Anne-Olivia
    Kallmes, David F.
    Kinsman, Kristin A.
    Nelson, Kristoff B.
    Clark, Michael S.
    Luetmer, Patrick H.
    Kingsbury, Paul R.
    Kent, David M.
    Liu, Hongfang
    JMIR MEDICAL INFORMATICS, 2019, 7 (02) : 82 - 90
  • [49] Natural Language Processing Methods and Techniques for Knowledge Extraction from School Reports
    Venturi, Giulia
    Dell'Orletta, Felice
    Montemagni, Simonetta
    Morini, Elettra
    Sagri, Maria Teresa
    CADMO, 2020, (02): : 49 - +
  • [50] USING NATURAL LANGUAGE PROCESSING TO EXTRACT ABNORMAL RESULTS FROM MAMMOGRAPHY REPORTS
    Moore, Carlton R.
    Farrag, Ashraf
    Ashkin, Evan
    JOURNAL OF GENERAL INTERNAL MEDICINE, 2013, 28 : S235 - S235
12345