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A neural network model analysis to identify victims of intimate partner violence · Study

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ArticleA neural network model analysis to identify victims of intimate partner violence

Armand Sprecher2004

Article2004

A neural network model analysis to identify victims of intimate partner violence

Armand Sprecher · Robert L. Muelleman · Michael C. Wadman

10 citations·0/0 files stored·The American Journal of Emergency Medicine

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Intimate Partner and Family Violence Artificial Intelligence in Healthcare Machine Learning in Healthcare

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References

1981The Assessment of Spouse Abuse: Two Quantifiable Dimensions 1995Domestic violence against women. Incidence and prevalence in an emergency department population 1992Violence Against Women 1997Accuracy of 3 Brief Screening Questions for Detecting Partner Violence in the Emergency Department 1995Domestic Violence Against Women 1997Accuracy of 3 brief screening questions for detecting partner violence in the emergency department 1997Accuracy of 3 brief screening questions for detecting partner violence in the emergency department 1995Battering in pregnancy: An assessment of two screening methods

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2003Preventive Care in the Emergency Department: Screening for Domestic Violence in the Emergency Departmentreview · 9 shared references 2008Domestic Violence: The “Rule of Thumb”: 2008 Western Trauma Association Presidential Addressarticle · 9 shared references 2004Domestic violence in emergency medicine patientsreview · 8 shared references 2002Domestic Violencereview · 8 shared references 1998How Often Do Women in the Emergency Department without Intimate Violence Injuries Return with Such Injuries?article · 8 shared references 2005Severe Intimate Partner Violence and Alcohol Use among Female Trauma Patientsarticle · 7 shared references

Details

Year2004

Typearticle

Published2004-03-01

VenueThe American Journal of Emergency Medicine

ISSN-L0735-6757

Languageen

Citations10

Files0 public / 0

ShelfIntimate Partner and Family Violence

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doi10.1016/j.ajem.2003.12.005

openalex_workW2103434372

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