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Volumn 17, Issue 6, 2011, Pages 407-414

A combined Fuzzy and Naïve Bayesian strategy can be used to assign event codes to injury narratives

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; BAYES THEOREM; CLASSIFICATION; CODING; COMPUTER PROGRAM; ELECTRONIC MEDICAL RECORD; FUZZY LOGIC; HUMAN; METHODOLOGY; OCCUPATIONAL ACCIDENT; SENSITIVITY AND SPECIFICITY; STANDARD; THEORETICAL MODEL;

EID: 81855182186     PISSN: 13538047     EISSN: 14755785     Source Type: Journal    
DOI: 10.1136/ip.2010.030593     Document Type: Review
Times cited : (27)

References (11)
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    • Sorock, G.1    Smith, G.2    Reeve, G.3
  • 2
    • 0035459151 scopus 로고    scopus 로고
    • Public health approaches to occupational injury prevention: Do they work?
    • Smith GS. Public health approaches to occupational injury prevention: do they work? Inj Prev 2001;7(Suppl I):i3-10.
    • (2001) Inj Prev , vol.7 , Issue.1 SUPPL.
    • Smith, G.S.1
  • 3
    • 4444379856 scopus 로고    scopus 로고
    • Using narrative text and coded data to develop hazard scenarios for occupational injury interventions
    • Lincoln AE, Sorock GS, Courtney TK, et al. Using narrative text and coded data to develop hazard scenarios for occupational injury interventions. Inj Prev 2004;10:249-54.
    • (2004) Inj Prev , vol.10 , pp. 249-254
    • Lincoln, A.E.1    Sorock, G.S.2    Courtney, T.K.3
  • 4
    • 37749012689 scopus 로고    scopus 로고
    • Completeness and accuracy of International Classification of Disease (ICD) external cause of injury codes in emergency department electronic data
    • Hunt PR, Hackman H, Berenholz G, et al. Completeness and accuracy of International Classification of Disease (ICD) external cause of injury codes in emergency department electronic data. Inj Prev 2007;13:422-5.
    • (2007) Inj Prev , vol.13 , pp. 422-425
    • Hunt, P.R.1    Hackman, H.2    Berenholz, G.3
  • 5
    • 81855214049 scopus 로고    scopus 로고
    • Strategies to Improve External Cause-of-injury Coding In State-based Hospital Discharge and Emergency Department Data Systems
    • recommendations of the CDC Workgroup for Improvement of External Cause-of-Injury Coding (MMWR Recomm Rep March 28, 2008/57(RR01);1-15). Atlanta, GA: Centers for Disease Control and Prevention (CDC), accessed 15 Jun
    • Annest JL, Fingerhut LA, Gallagher SS, et al. Strategies to improve external cause-of-injury coding in state-based hospital discharge and emergency department data systems: recommendations of the CDC Workgroup for Improvement of External Cause-of-Injury Coding (MMWR Recomm Rep March 28, 2008/57(RR01);1-15). Atlanta, GA: Centers for Disease Control and Prevention (CDC). http://www.cdc.gov/mmwr/preview/mmwrhtml/rr5701a1.htm (accessed 15 Jun 2010).
    • (2010)
    • Annest, J.L.1    Fingerhut, L.A.2    Gallagher, S.S.3
  • 7
    • 0029661794 scopus 로고    scopus 로고
    • Motor vehicle crashes in roadway construction work zones: An analysis using narrative text from insurance claims
    • Sorock G, Ranney T, Lehto M. Motor vehicle crashes in roadway construction work zones: an analysis using narrative text from insurance claims. Accid Anal Prev 1996;28:131-8.
    • (1996) Accid Anal Prev , vol.28 , pp. 131-138
    • Sorock, G.1    Ranney, T.2    Lehto, M.3
  • 8
    • 0345328778 scopus 로고    scopus 로고
    • Computerized coding of injury narrative data from the National Health Interview Survey
    • Wellman HM, Lehto MR, Sorock GS. Computerized coding of injury narrative data from the National Health Interview Survey. Accid Anal Prev 2004;36:165-71.
    • (2004) Accid Anal Prev , vol.36 , pp. 165-171
    • Wellman, H.M.1    Lehto, M.R.2    Sorock, G.S.3
  • 9
    • 76049104928 scopus 로고    scopus 로고
    • The use of narrative text for injury surveillance research: A systematic review
    • McKenzie K, Scott DA, Campbell MA, et al. The use of narrative text for injury surveillance research: a systematic review. Accid Anal Prev 2010;42:354-63.
    • (2010) Accid Anal Prev , vol.42 , pp. 354-363
    • McKenzie, K.1    Scott, D.A.2    Campbell, M.A.3
  • 10
    • 71549142879 scopus 로고    scopus 로고
    • Bayesian methods: A useful tool for classifying injury narratives into cause groups
    • Lehto M, Marucci-Wellman H, Corns H. Bayesian methods: a useful tool for classifying injury narratives into cause groups. Inj Prev 2009;15:259-65.
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    • Lehto, M.1    Marucci-Wellman, H.2    Corns, H.3
  • 11
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    • Unspecified falls among youth: Predictors of coding specificity in the emergency department 2006
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    • Kaida, A.K.1    Marko, J.2    Hagel, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.