Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Colin G Walsh"'
Autor:
Leigh Anne Tang, Jessica Korona-Bailey, Dimitrios Zaras, Allison Roberts, Sutapa Mukhopadhyay, Stephen Espy, Colin G Walsh
Publikováno v:
JMIR Public Health and Surveillance, Vol 9, p e45246 (2023)
BackgroundFatal drug overdose surveillance informs prevention but is often delayed because of autopsy report processing and death certificate coding. Autopsy reports contain narrative text describing scene evidence and medical history (similar to pre
Externí odkaz:
https://doaj.org/article/e51735d05070494daff24640e8a198a7
Autor:
Lisa A Brenner, Jeri E Forster, Colin G Walsh, Kelly A Stearns-Yoder, Mary Jo Larson, Trisha A Hostetter, Claire A Hoffmire, Jaimie L Gradus, Rachel Sayko Adams
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0280217 (2023)
Efforts were focused on identifying differences in suicide rates and time-dependent hazard rate trends, overall and within age groups, by race and ethnicity among United States Army members who returned from an index deployment (October 2007 to Septe
Externí odkaz:
https://doaj.org/article/84ed4c3aca2a4069b94e727f2bff253f
Autor:
Emily E Haroz, Fiona Grubin, Novalene Goklish, Shardai Pioche, Mary Cwik, Allison Barlow, Emma Waugh, Jason Usher, Matthew C Lenert, Colin G Walsh
Publikováno v:
JMIR Public Health and Surveillance, Vol 7, Iss 9, p e24377 (2021)
BackgroundMachine learning algorithms for suicide risk prediction have been developed with notable improvements in accuracy. Implementing these algorithms to enhance clinical care and reduce suicide has not been well studied. ObjectiveThis study aim
Externí odkaz:
https://doaj.org/article/eb15768bf0014de2b50a016c281ba123
Autor:
Hojjat Salmasian, David K Vawdrey, James R Rogers, Devan Kansagara, Lisa Grossman Liu, Rollin Reeder, Colin G Walsh
Publikováno v:
BMJ Open, Vol 11, Iss 8 (2021)
Introduction The number of readmission risk prediction models available has increased rapidly, and these models are used extensively for health decision-making. Unfortunately, readmission models can be subject to flaws in their development and valida
Externí odkaz:
https://doaj.org/article/3cc139d4725c4212ba855b38bde764ed
Autor:
Colin G. Walsh, Drew Wilimitis, Qingxia Chen, Aileen Wright, Jhansi Kolli, Katelyn Robinson, Michael A. Ripperger, Kevin B. Johnson, David Carrell, Rishi J. Desai, Andrew Mosholder, Sai Dharmarajan, Sruthi Adimadhyam, Daniel Fabbri, Danijela Stojanovic, Michael E. Matheny, Cosmin A. Bejan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Post marketing safety surveillance depends in part on the ability to detect concerning clinical events at scale. Spontaneous reporting might be an effective component of safety surveillance, but it requires awareness and understanding among
Externí odkaz:
https://doaj.org/article/5b2eef6f8ea54433a9250e4c3c6abd1c
Autor:
Colin G. Walsh, Michael A. Ripperger, Yirui Hu, Yi-han Sheu, Hyunjoon Lee, Drew Wilimitis, Amanda B. Zheutlin, Daniel Rocha, Karmel W. Choi, Victor M. Castro, H. Lester Kirchner, Christopher F. Chabris, Lea K. Davis, Jordan W. Smoller
Publikováno v:
Translational Psychiatry, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract Bipolar disorder is a leading contributor to disability, premature mortality, and suicide. Early identification of risk for bipolar disorder using generalizable predictive models trained on diverse cohorts around the United States could impr
Externí odkaz:
https://doaj.org/article/94f1cfffc2144cf09173606b3f636a0f
Autor:
Cosmin A. Bejan, Michael Ripperger, Drew Wilimitis, Ryan Ahmed, JooEun Kang, Katelyn Robinson, Theodore J. Morley, Douglas M. Ruderfer, Colin G. Walsh
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Methods relying on diagnostic codes to identify suicidal ideation and suicide attempt in Electronic Health Records (EHRs) at scale are suboptimal because suicide-related outcomes are heavily under-coded. We propose to improve the ascertainme
Externí odkaz:
https://doaj.org/article/6374eb5ac4b94b4d918fe4c505948f43
Publikováno v:
Frontiers in Digital Health, Vol 4 (2022)
As the implementation of artificial intelligence (AI)-enabled tools is realized across diverse clinical environments, there is a growing understanding of the need for ongoing monitoring and updating of prediction models. Dataset shift—temporal chan
Externí odkaz:
https://doaj.org/article/e145584afc6e4d9e82898b8a9ba7d2d2
Publikováno v:
Frontiers in Psychiatry, Vol 9 (2018)
In the United States, suicide increased by 24% in the past 20 years, and suicide risk identification at point-of-care remains a cornerstone of the effort to curb this epidemic (1). As risk identification is difficult because of symptom under-reportin
Externí odkaz:
https://doaj.org/article/c01c0a6c52d446c892c8661684af870a
Autor:
Emily E. Haroz, Novalene Goklish, Colin G. Walsh, Mary Cwik, Victoria M. O’Keefe, Francene Larzelere, Mitchell Garcia, Tina Minjarez, Allison Barlow
Publikováno v:
JAMA Psychiatry.
ImportanceThere are many prognostic models of suicide risk, but few have been prospectively evaluated, and none has been developed specifically for Native American populations.ObjectiveTo prospectively validate a statistical risk model implemented in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce5354e063b67f14fbf06a0cba67a023
https://doi.org/10.1001/jamapsychiatry.2022.5068
https://doi.org/10.1001/jamapsychiatry.2022.5068