| Title | Can artificial intelligence help identify elder abuse and neglect? |
| Publication Type | Journal Article |
| Year of Publication | 2020 |
| Authors | Rosen T, Zhang Y, Bao Y, Clark S, Elman A, Wen K, Jeng P, Lachs MS |
| Journal | J Elder Abuse Negl |
| Volume | 32 |
| Issue | 1 |
| Pagination | 97-103 |
| Date Published | 2020 Jan-Feb |
| ISSN | 1540-4129 |
| 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. |
| DOI | 10.1080/08946566.2019.1682099 |
| Alternate Journal | J Elder Abuse Negl |
| PubMed ID | 31713474 |
| PubMed Central ID | PMC7069787 |
| Grant List | K76 AG054866 / AG / NIA NIH HHS / United States R01 AG060086 / AG / NIA NIH HHS / United States |
