Literature DB >> 31713474

Can artificial intelligence help identify elder abuse and neglect?

Tony Rosen1, Yiye Zhang2, Yuhua Bao2, Sunday Clark1, Alyssa Elman1, Katherine Wen3, Philip Jeng2, Mark S Lachs4.   

Abstract

A health care encounter is a potentially critical opportunity to detect elder abuse and initiate intervention. Unfortunately, health care providers currently very seldom identify elder abuse. Through development of advanced data analytics techniques such as machine learning, artificial intelligence has the potential to dramatically improve elder abuse identification in health care settings.

Entities:  

Keywords:  Elder abuse; electronic health records; insurance claims; machine learning

Mesh：

Year:  2019        PMID： 31713474      PMCID： PMC7069787          DOI： 10.1080/08946566.2019.1682099

Source DB:  PubMed          Journal:  J Elder Abuse Negl        ISSN： 0894-6566


  20 in total

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Authors:  Terry Fulmer
Journal:  J Gerontol Nurs       Date:  2003-06       Impact factor: 1.254

Review 2.  Elder Abuse.

Authors:  Mark S Lachs; Karl A Pillemer
Journal:  N Engl J Med       Date:  2015-11-12       Impact factor: 91.245

3.  Development of the Emergency Department Senior Abuse Identification (ED Senior AID) tool.

Authors:  Timothy F Platts-Mills; Joseph A Dayaa; Bryce B Reeve; Kayla Krajick; Laura Mosqueda; Jason S Haukoos; Mehul D Patel; Carrie F Mulford; Samuel A McLean; Phil D Sloane; Debbie Travers; Sheryl Zimmerman
Journal:  J Elder Abuse Negl       Date:  2018-04-13

Review 4.  Deep learning.

Authors:  Yann LeCun; Yoshua Bengio; Geoffrey Hinton
Journal:  Nature       Date:  2015-05-28       Impact factor: 49.962

5.  Dermatologist-level classification of skin cancer with deep neural networks.

Authors:  Andre Esteva; Brett Kuprel; Roberto A Novoa; Justin Ko; Susan M Swetter; Helen M Blau; Sebastian Thrun
Journal:  Nature       Date:  2017-01-25       Impact factor: 49.962

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Journal:  Health Aff (Millwood)       Date:  2014-07       Impact factor: 6.301

7.  Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers.

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Journal:  Stud Health Technol Inform       Date:  2015

8.  Bruising as a marker of physical elder abuse.

Authors:  Aileen Wiglesworth; Raciela Austin; Maria Corona; Diana Schneider; Solomon Liao; Lisa Gibbs; Laura Mosqueda
Journal:  J Am Geriatr Soc       Date:  2009-06-03       Impact factor: 5.562

9.  Changing the research landscape: the New York City Clinical Data Research Network.

Authors:  Rainu Kaushal; George Hripcsak; Deborah D Ascheim; Toby Bloom; Thomas R Campion; Arthur L Caplan; Brian P Currie; Thomas Check; Emme Levin Deland; Marc N Gourevitch; Raffaella Hart; Carol R Horowitz; Isaac Kastenbaum; Arthur Aaron Levin; Alexander F H Low; Paul Meissner; Parsa Mirhaji; Harold A Pincus; Charles Scaglione; Donna Shelley; Jonathan N Tobin
Journal:  J Am Med Inform Assoc       Date:  2014-05-12       Impact factor: 4.497

10.  Big data in healthcare: are we close to it?

Authors:  Elliot Naidus; Leo Anthony Celi
Journal:  Rev Bras Ter Intensiva       Date:  2016 Jan-Mar
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  2 in total

1.  Screening for elder mistreatment in emergency departments: current progress and recommendations for next steps.

Authors:  Tony Rosen; Timothy F Platts-Mills; Terry Fulmer
Journal:  J Elder Abuse Negl       Date:  2020-06

2.  Research on the influence mechanism and governance mechanism of digital divide for the elderly on wisdom healthcare: The role of artificial intelligence and big data.

Authors:  Jian Zhou; Zeyu Wang; Yang Liu; Jian Yang
Journal:  Front Public Health       Date:  2022-08-17
  2 in total

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