메뉴 건너뛰기




Volumn 216, Issue , 2015, Pages 604-608

Identification of Patients with Family History of Pancreatic Cancer-Investigation of an NLP System Portability

Author keywords

Family History; Natural language processing; Pancreatic cancer; Unstructured Information Management Architecture

Indexed keywords

BIOINFORMATICS; DISEASES; INFORMATION MANAGEMENT;

EID: 84951925092     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-564-7-604     Document Type: Conference Paper
Times cited : (32)

References (33)
  • 2
    • 67349188781 scopus 로고    scopus 로고
    • Family history is a significant risk factor for pancreatic cancer: Results from a systematic review and meta-analysis
    • Permuth-Wey J and Egan KM. Family history is a significant risk factor for pancreatic cancer: results from a systematic review and meta-analysis. Fam Cancer 2009;8(2):109-17.
    • (2009) Fam Cancer , vol.8 , Issue.2 , pp. 109-117
    • Permuth-Wey, J.1    Egan, K.M.2
  • 4
    • 11144353646 scopus 로고    scopus 로고
    • Prospective risk of pancreatic cancer in familial pancreatic cancer kindreds
    • Klein AP et al. Prospective risk of pancreatic cancer in familial pancreatic cancer kindreds. Cancer Res 2004: 64(7): 2634-8.
    • (2004) Cancer Res , vol.64 , Issue.7 , pp. 2634-2638
    • Klein, A.P.1
  • 5
    • 84856974698 scopus 로고    scopus 로고
    • Epidemiology, risk factors and the promotion of pancreatic cancer: Role of the stellate cell
    • Pandol S et al. Epidemiology, risk factors, and the promotion of pancreatic cancer: role of the stellate cell. J Gastroenterol Hepatol 2012: 27: 127-134.
    • (2012) J Gastroenterol Hepatol , vol.27 , pp. 127-134
    • Pandol, S.1
  • 6
    • 78649683705 scopus 로고    scopus 로고
    • Natural language processing for the development of a clinical registry: A validation study in intraductal papillary mucinous neoplasms
    • Al-Haddad MA et al. Natural language processing for the development of a clinical registry: A validation study in intraductal papillary mucinous neoplasms. International Hepato-Pancreato-Biliary Association 2010: 12(10): 688-95.
    • (2010) International Hepato-Pancreato-Biliary Association , vol.12 , Issue.10 , pp. 688-695
    • Al-Haddad, M.A.1
  • 7
    • 84894328654 scopus 로고    scopus 로고
    • An efficient pancreatic cyst identification methodology using natural language processing
    • Mehrabi S et al. An efficient pancreatic cyst identification methodology using natural language processing. Stud Health Technol Inform 2013: 192: 822-6.
    • (2013) Stud Health Technol Inform , vol.192 , pp. 822-826
    • Mehrabi, S.1
  • 8
    • 84927509831 scopus 로고    scopus 로고
    • Automated pancreatic cyst screening using natural language processing: A new tool in pancreatic cancer early detection
    • Roch AM et al. Automated pancreatic cyst screening using natural language processing: A new tool in pancreatic cancer early detection. HPB doi: 10. 1111/hpb. 12375.
    • HPB
    • Roch, A.M.1
  • 9
    • 84966320901 scopus 로고    scopus 로고
    • An information extraction framework for cohort identification using electronic health records
    • Liu H et al. An information extraction framework for cohort identification using electronic health records. AMIA Jt Summits Transl Sci Proc 2013:149-153.
    • (2013) AMIA Jt Summits Transl Sci Proc , pp. 149-153
    • Liu, H.1
  • 10
    • 0040078056 scopus 로고    scopus 로고
    • Summarizing scientific articles: Experiments with relevance and rhetorical status
    • Teufel S and Moens M. Summarizing scientific articles: Experiments with relevance and rhetorical status. Computational Linguistics 2002: 28(4): 409-445.
    • (2002) Computational Linguistics , vol.28 , Issue.4 , pp. 409-445
    • Teufel, S.1    Moens, M.2
  • 14
    • 16544374908 scopus 로고    scopus 로고
    • Categorization of sentence types in medical abstracts
    • McKnight L and Srinivasan P. Categorization of sentence types in medical abstracts. AMIA Annu Symp Proc. 2003:440-444.
    • (2003) AMIA Annu Symp Proc. , pp. 440-444
    • McKnight, L.1    Srinivasan, P.2
  • 15
    • 70350788833 scopus 로고    scopus 로고
    • Evaluation of a method to identify and categorize section headers in clinical documents
    • Denny JC et al. Evaluation of a method to identify and categorize section headers in clinical documents. JAMIA 2009;16(6):806-15.
    • (2009) JAMIA , vol.16 , Issue.6 , pp. 806-815
    • Denny, J.C.1
  • 19
    • 70349450087 scopus 로고    scopus 로고
    • Identification and extraction of family history information from clinical reports
    • Sergey Goryachev, Hyeoneui Kim, and Qing Zeng-Treitler. Identification and Extraction of Family History Information from Clinical Reports. AMIA Annu Symp Proc. 2008:247-251.
    • (2008) AMIA Annu Symp Proc. , pp. 247-251
    • Goryachev, S.1    Kim, H.2    Zeng-Treitler, Q.3
  • 20
    • 81355163929 scopus 로고    scopus 로고
    • Dependency parsing for extracting family history
    • Lewis N, Gruhl D, and Yang H. Dependency Parsing for Extracting Family History. IEEE HISB 2011: VOL: 237-242.
    • (2011) IEEE HISB , pp. 237-242
    • Lewis, N.1    Gruhl, D.2    Yang, H.3
  • 21
    • 84911878838 scopus 로고    scopus 로고
    • Negation's not solved: Generalizability versus optimizability in clinical natural language processing
    • Wu S et al. Negation's Not Solved: Generalizability Versus Optimizability in Clinical Natural Language Processing. PLoS ONE 2014: 9(11): pages.
    • (2014) PLoS ONE , vol.9 , Issue.11
    • Wu, S.1
  • 23
    • 0032886481 scopus 로고    scopus 로고
    • Ad hoc classification of radiology reports
    • Sep-Oct
    • Aronow DB, Fangfang F, and Croft WB. Ad Hoc Classification of Radiology Reports. J Am Med Inform Assoc 1999: 6(5) Sep-Oct: 393-411.
    • (1999) J Am Med Inform Assoc , vol.6 , Issue.5 , pp. 393-411
    • Aronow, D.B.1    Fangfang, F.2    Croft, W.B.3
  • 24
    • 0035180309 scopus 로고    scopus 로고
    • Use of general purpose negation detection to augment concept indexing of medical documents: A quantitative study using the umls
    • Mutalik PG, Deshpande A, and Nadkarni P. Use of general purpose negation detection to augment concept indexing of medical documents: A quantitative study using the umls. J Am Med Inform Assoc 2001: 8: 589-609.
    • (2001) J Am Med Inform Assoc , vol.8 , pp. 589-609
    • Mutalik, P.G.1    Deshpande, A.2    Nadkarni, P.3
  • 25
    • 34247380744 scopus 로고    scopus 로고
    • A novel hybrid approach to automated negation detection in clinical radiology reports
    • Huang Y and Lowe HJ. A novel hybrid approach to automated negation detection in clinical radiology reports. J Am Med Inform Assoc 2007: 14: 304-311.
    • (2007) J Am Med Inform Assoc , vol.14 , pp. 304-311
    • Huang, Y.1    Lowe, H.J.2
  • 27
    • 34748879356 scopus 로고    scopus 로고
    • Using a natural language processing system to extract and code family history data from admission reports
    • Friedlin J and McDonald CJ. Using a natural language processing system to extract and code family history data from admission reports. AMIA Annu Symp Proc. 2006:925.
    • (2006) AMIA Annu Symp Proc. , pp. 925
    • Friedlin, J.1    McDonald, C.J.2
  • 28
    • 34248210562 scopus 로고    scopus 로고
    • PancPRO: Risk assessment for individuals with a family history of pancreatic cancer
    • Wang W et al. PancPRO: risk assessment for individuals with a family history of pancreatic cancer. J Clin Oncol 2007: 25(11): 1417-22.
    • (2007) J Clin Oncol , vol.25 , Issue.11 , pp. 1417-1422
    • Wang, W.1
  • 29
    • 80053230002 scopus 로고    scopus 로고
    • The Yale cTAKES extensions for document classification: Architecture and application
    • Sep-Oct
    • Garla V et al. The Yale cTAKES extensions for document classification: Architecture and application. J Am Med Inform Assoc 2011: 18(5) Sep-Oct: 614-20.
    • (2011) J Am Med Inform Assoc , vol.18 , Issue.5 , pp. 614-620
    • Garla, V.1
  • 30
    • 0345863927 scopus 로고    scopus 로고
    • The unified medical language system (UMLS): Integrating biomedical terminology
    • 32 Jan
    • Bodenreider O. The Unified Medical Language System (UMLS): integrating biomedical terminology. Nucleic Acids Res 2004: 32 Jan: 267-70.
    • (2004) Nucleic Acids Res , pp. 267-270
    • Bodenreider, O.1
  • 31
    • 84927927981 scopus 로고    scopus 로고
    • DEEPEN: A negation detection system for clinical text incorporating dependency relation into
    • Mehrabi S et al. DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx JBI 2015 doi:10. 1016/j. jbi. 2015. 02. 010.
    • (2015) NegEx JBI
    • Mehrabi, S.1
  • 32
    • 85037338954 scopus 로고    scopus 로고
    • Generating typed dependency parses from phrase structure parses
    • M C de Marneffe, B MacCartney, and C D Manning, "Generating Typed Dependency Parses from Phrase Structure Parses, " in LREC, 2006.
    • (2006) LREC
    • De Marneffe, M.C.1    MacCartney, B.2    Manning, C.D.3
  • 33
    • 84863554305 scopus 로고    scopus 로고
    • Portability of an algorithm to identify rheumatoid arthritis in electronic health records
    • Robert J Carroll et al. Portability of an algorithm to identify rheumatoid arthritis in electronic health records. J Am Med Inform Assoc 2012: 19: E162-169.
    • (2012) J Am Med Inform Assoc , vol.19 , pp. e162-169
    • Carroll, R.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.