109 related articles for article (PubMed ID: 34346616)
1. [Machine learning and suicide prevention: is an algorithm the solution?].
de Beurs D; Mens K
Ned Tijdschr Geneeskd; 2021 May; 165():. PubMed ID: 34346616
[TBL] [Abstract][Full Text] [Related]
2. Machine learning in suicide science: Applications and ethics.
Linthicum KP; Schafer KM; Ribeiro JD
Behav Sci Law; 2019 May; 37(3):214-222. PubMed ID: 30609102
[TBL] [Abstract][Full Text] [Related]
3. Testing Suicide Risk Prediction Algorithms Using Phone Measurements With Patients in Acute Mental Health Settings: Feasibility Study.
Haines-Delmont A; Chahal G; Bruen AJ; Wall A; Khan CT; Sadashiv R; Fearnley D
JMIR Mhealth Uhealth; 2020 Jun; 8(6):e15901. PubMed ID: 32442152
[TBL] [Abstract][Full Text] [Related]
4. Can machine-learning methods really help predict suicide?
McHugh CM; Large MM
Curr Opin Psychiatry; 2020 Jul; 33(4):369-374. PubMed ID: 32250986
[TBL] [Abstract][Full Text] [Related]
5. Identifying a clinical signature of suicidality among patients with mood disorders: A pilot study using a machine learning approach.
Passos IC; Mwangi B; Cao B; Hamilton JE; Wu MJ; Zhang XY; Zunta-Soares GB; Quevedo J; Kauer-Sant'Anna M; Kapczinski F; Soares JC
J Affect Disord; 2016 Mar; 193():109-16. PubMed ID: 26773901
[TBL] [Abstract][Full Text] [Related]
6. A comparative study of machine learning techniques for suicide attempts predictive model.
Nordin N; Zainol Z; Mohd Noor MH; Lai Fong C
Health Informatics J; 2021; 27(1):1460458221989395. PubMed ID: 33745355
[TBL] [Abstract][Full Text] [Related]
7. Machine Learning Algorithms in Suicide Prevention: Clinician Interpretations as Barriers to Implementation.
Brown LA; Benhamou K; May AM; Mu W; Berk R
J Clin Psychiatry; 2020 Apr; 81(3):. PubMed ID: 32316078
[TBL] [Abstract][Full Text] [Related]
8. Machine Learning Analysis of Handgun Transactions to Predict Firearm Suicide Risk.
Laqueur HS; Smirniotis C; McCort C; Wintemute GJ
JAMA Netw Open; 2022 Jul; 5(7):e2221041. PubMed ID: 35816302
[TBL] [Abstract][Full Text] [Related]
9. Designing a Clinical Decision Support Tool That Leverages Machine Learning for Suicide Risk Prediction: Development Study in Partnership With Native American Care Providers.
Haroz EE; Grubin F; Goklish N; Pioche S; Cwik M; Barlow A; Waugh E; Usher J; Lenert MC; Walsh CG
JMIR Public Health Surveill; 2021 Sep; 7(9):e24377. PubMed ID: 34473065
[TBL] [Abstract][Full Text] [Related]
10. Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps.
Torous J; Larsen ME; Depp C; Cosco TD; Barnett I; Nock MK; Firth J
Curr Psychiatry Rep; 2018 Jun; 20(7):51. PubMed ID: 29956120
[TBL] [Abstract][Full Text] [Related]
11. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
[TBL] [Abstract][Full Text] [Related]
12. Identifying long-term and imminent suicide predictors in a general population and a clinical sample with machine learning.
Balbuena LD; Baetz M; Sexton JA; Harder D; Feng CX; Boctor K; LaPointe C; Letwiniuk E; Shamloo A; Ishwaran H; John A; Brantsæter AL
BMC Psychiatry; 2022 Feb; 22(1):120. PubMed ID: 35168594
[TBL] [Abstract][Full Text] [Related]
13. Ten-year prediction of suicide death using Cox regression and machine learning in a nationwide retrospective cohort study in South Korea.
Choi SB; Lee W; Yoon JH; Won JU; Kim DW
J Affect Disord; 2018 Apr; 231():8-14. PubMed ID: 29408160
[TBL] [Abstract][Full Text] [Related]
14. Classification of suicide attempters in schizophrenia using sociocultural and clinical features: A machine learning approach.
Hettige NC; Nguyen TB; Yuan C; Rajakulendran T; Baddour J; Bhagwat N; Bani-Fatemi A; Voineskos AN; Mallar Chakravarty M; De Luca V
Gen Hosp Psychiatry; 2017 Jul; 47():20-28. PubMed ID: 28807134
[TBL] [Abstract][Full Text] [Related]
15. Predicting future suicidal behaviour in young adults, with different machine learning techniques: A population-based longitudinal study.
van Mens K; de Schepper C; Wijnen B; Koldijk SJ; Schnack H; de Looff P; Lokkerbol J; Wetherall K; Cleare S; C O'Connor R; de Beurs D
J Affect Disord; 2020 Jun; 271():169-177. PubMed ID: 32479313
[TBL] [Abstract][Full Text] [Related]
16. Exploiting Machine Learning Algorithms and Methods for the Prediction of Agitated Delirium After Cardiac Surgery: Models Development and Validation Study.
Mufti HN; Hirsch GM; Abidi SR; Abidi SSR
JMIR Med Inform; 2019 Oct; 7(4):e14993. PubMed ID: 31558433
[TBL] [Abstract][Full Text] [Related]
17. From everyday life predictions to suicide prevention: Clinical and ethical considerations in suicide predictive analytic tools.
Luk JW; Pruitt LD; Smolenski DJ; Tucker J; Workman DE; Belsher BE
J Clin Psychol; 2022 Feb; 78(2):137-148. PubMed ID: 34195998
[TBL] [Abstract][Full Text] [Related]
18. Detecting risk of suicide attempts among Chinese medical college students using a machine learning algorithm.
Shen Y; Zhang W; Chan BSM; Zhang Y; Meng F; Kennon EA; Wu HE; Luo X; Zhang X
J Affect Disord; 2020 Aug; 273():18-23. PubMed ID: 32421600
[TBL] [Abstract][Full Text] [Related]
19. Can Machine-learning Algorithms Predict Early Revision TKA in the Danish Knee Arthroplasty Registry?
El-Galaly A; Grazal C; Kappel A; Nielsen PT; Jensen SL; Forsberg JA
Clin Orthop Relat Res; 2020 Sep; 478(9):2088-2101. PubMed ID: 32667760
[TBL] [Abstract][Full Text] [Related]
20. Prevention of suicide and attempted suicide in Denmark. Epidemiological studies of suicide and intervention studies in selected risk groups.
Nordentoft M
Dan Med Bull; 2007 Nov; 54(4):306-69. PubMed ID: 18208680
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]