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For: Corke M, Mullin K, Angel-Scott H, Xia S, Large M. Meta-analysis of the strength of exploratory suicide prediction models; from clinicians to computers. BJPsych Open 2021;7:e26. [PMID: 33407984 PMCID: PMC8058929 DOI: 10.1192/bjo.2020.162] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]  Open
Number Cited by Other Article(s)
1
Ehtemam H, Sadeghi Esfahlani S, Sanaei A, Ghaemi MM, Hajesmaeel-Gohari S, Rahimisadegh R, Bahaadinbeigy K, Ghasemian F, Shirvani H. Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies. BMC Med Inform Decis Mak 2024;24:138. [PMID: 38802823 PMCID: PMC11129374 DOI: 10.1186/s12911-024-02524-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 04/30/2024] [Indexed: 05/29/2024]  Open
2
Mortier P, Amigo F, Bhargav M, Conde S, Ferrer M, Flygare O, Kizilaslan B, Latorre Moreno L, Leis A, Mayer MA, Pérez-Sola V, Portillo-Van Diest A, Ramírez-Anguita JM, Sanz F, Vilagut G, Alonso J, Mehlum L, Arensman E, Bjureberg J, Pastor M, Qin P. Developing a clinical decision support system software prototype that assists in the management of patients with self-harm in the emergency department: protocol of the PERMANENS project. BMC Psychiatry 2024;24:220. [PMID: 38509500 PMCID: PMC10956300 DOI: 10.1186/s12888-024-05659-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 03/05/2024] [Indexed: 03/22/2024]  Open
3
Pigoni A, Delvecchio G, Turtulici N, Madonna D, Pietrini P, Cecchetti L, Brambilla P. Machine learning and the prediction of suicide in psychiatric populations: a systematic review. Transl Psychiatry 2024;14:140. [PMID: 38461283 PMCID: PMC10925059 DOI: 10.1038/s41398-024-02852-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 02/22/2024] [Accepted: 02/22/2024] [Indexed: 03/11/2024]  Open
4
Somé NH, Noormohammadpour P, Lange S. The use of machine learning on administrative and survey data to predict suicidal thoughts and behaviors: a systematic review. Front Psychiatry 2024;15:1291362. [PMID: 38501090 PMCID: PMC10944962 DOI: 10.3389/fpsyt.2024.1291362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Accepted: 02/12/2024] [Indexed: 03/20/2024]  Open
5
Nielsen SD, Christensen RHB, Madsen T, Karstoft KI, Clemmensen L, Benros ME. Prediction models of suicide and non-fatal suicide attempt after discharge from a psychiatric inpatient stay: A machine learning approach on nationwide Danish registers. Acta Psychiatr Scand 2023;148:525-537. [PMID: 37961014 DOI: 10.1111/acps.13629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 10/06/2023] [Accepted: 10/13/2023] [Indexed: 11/15/2023]
6
Grover C, Huber J, Brewer M, Basu A, Large M. Meta-analysis of clinical risk factors for suicide among people presenting to emergency departments and general hospitals with suicidal thoughts and behaviours. Acta Psychiatr Scand 2023;148:491-524. [PMID: 37904016 DOI: 10.1111/acps.13620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 08/27/2023] [Accepted: 09/13/2023] [Indexed: 11/01/2023]
7
Candon M, Fox K, Jager-Hyman S, Jang M, Augustin R, Cantiello H, Colton L, Drake R, Futterer A, Kessel P, Kwon N, Levin S, Maddox B, Parrish C, Robbins H, Shen S, Smith JL, Ware N, Shoyinka S, Lim S. Building an Integrated Data Infrastructure to Examine the Spectrum of Suicide Risk Factors in Philadelphia Medicaid. ADMINISTRATION AND POLICY IN MENTAL HEALTH AND MENTAL HEALTH SERVICES RESEARCH 2023;50:999-1009. [PMID: 37689586 DOI: 10.1007/s10488-023-01299-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/25/2023] [Indexed: 09/11/2023]
8
Su R, John JR, Lin PI. Machine learning-based prediction for self-harm and suicide attempts in adolescents. Psychiatry Res 2023;328:115446. [PMID: 37683319 DOI: 10.1016/j.psychres.2023.115446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 08/24/2023] [Accepted: 08/27/2023] [Indexed: 09/10/2023]
9
Melhem N, Moutier CY, Brent DA. Implementing Evidence-Based Suicide Prevention Strategies for Greatest Impact. FOCUS (AMERICAN PSYCHIATRIC PUBLISHING) 2023;21:117-128. [PMID: 37201145 PMCID: PMC10172552 DOI: 10.1176/appi.focus.20220078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
10
Suicide risk assessment. Lancet Psychiatry 2022;9:938-939. [PMID: 36403596 DOI: 10.1016/s2215-0366(22)00314-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 08/21/2022] [Accepted: 08/22/2022] [Indexed: 11/19/2022]
11
Large M, Swaraj S. Comparing suicide and vascular mortality associated with mental illness. Lancet Psychiatry 2022;9:850-851. [PMID: 36244352 DOI: 10.1016/s2215-0366(22)00315-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 08/21/2022] [Accepted: 08/22/2022] [Indexed: 10/31/2022]
12
The performance of machine learning models in predicting suicidal ideation, attempts, and deaths: A meta-analysis and systematic review. J Psychiatr Res 2022;155:579-588. [PMID: 36206602 DOI: 10.1016/j.jpsychires.2022.09.050] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 08/21/2022] [Accepted: 09/24/2022] [Indexed: 11/21/2022]
13
Hopkins D, Rickwood DJ, Hallford DJ, Watsford C. Structured data vs. unstructured data in machine learning prediction models for suicidal behaviors: A systematic review and meta-analysis. Front Digit Health 2022;4:945006. [PMID: 35983407 PMCID: PMC9378826 DOI: 10.3389/fdgth.2022.945006] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 06/29/2022] [Indexed: 11/23/2022]  Open
14
Fanshawe TR, Fazel S. The 'double whammy' of low prevalence in clinical risk prediction. BMJ Evid Based Med 2022;27:191-194. [PMID: 34389609 DOI: 10.1136/bmjebm-2021-111683] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/24/2021] [Indexed: 01/21/2023]
15
Khan NZ, Javed MA. Use of Artificial Intelligence-Based Strategies for Assessing Suicidal Behavior and Mental Illness: A Literature Review. Cureus 2022;14:e27225. [PMID: 36035036 PMCID: PMC9400551 DOI: 10.7759/cureus.27225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/24/2022] [Indexed: 11/12/2022]  Open
16
Machine learning for suicidal ideation identification: A systematic literature review. COMPUTERS IN HUMAN BEHAVIOR 2022. [DOI: 10.1016/j.chb.2021.107095] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
17
Berardelli I, Maraone A, Belvisi D, Pasquini M, Giustini S, Miraglia E, Iacovino C, Pompili M, Frascarelli M, Fabbrini G. The importance of suicide risk assessment in patients affected by neurofibromatosis. Int J Psychiatry Clin Pract 2021;25:350-355. [PMID: 34270353 DOI: 10.1080/13651501.2021.1921217] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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