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For: Ryu S, Lee H, Lee DK, Park K. Use of a Machine Learning Algorithm to Predict Individuals with Suicide Ideation in the General Population. Psychiatry Investig 2018;15:1030-1036. [PMID: 30301301 PMCID: PMC6258996 DOI: 10.30773/pi.2018.08.27] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [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] [Received: 06/24/2018] [Accepted: 08/27/2018] [Indexed: 01/13/2023]  Open
Number Cited by Other Article(s)
1
Gholi Zadeh Kharrat F, Gagne C, Lesage A, Gariépy G, Pelletier JF, Brousseau-Paradis C, Rochette L, Pelletier E, Lévesque P, Mohammed M, Wang J. Explainable artificial intelligence models for predicting risk of suicide using health administrative data in Quebec. PLoS One 2024;19:e0301117. [PMID: 38568987 PMCID: PMC10990247 DOI: 10.1371/journal.pone.0301117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 03/11/2024] [Indexed: 04/05/2024]  Open
2
Sara SS, Rahman MA, Rahman R, Talukder A. Prediction of suicidal ideation with associated risk factors among university students in the southern part of Bangladesh: Machine learning approach. J Affect Disord 2024;349:502-508. [PMID: 38218257 DOI: 10.1016/j.jad.2024.01.092] [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: 05/27/2023] [Revised: 11/09/2023] [Accepted: 01/07/2024] [Indexed: 01/15/2024]
3
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
4
Kim EY, Jeong YW, Lim J, Kang DR. Factors Related to Suicidal Ideation by Gender and Age Group in Korean Adults. J Korean Med Sci 2023;38:e376. [PMID: 38111279 PMCID: PMC10727917 DOI: 10.3346/jkms.2023.38.e376] [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: 01/12/2023] [Accepted: 09/14/2023] [Indexed: 12/20/2023]  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
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]
7
Shin S, Kim K. Prediction of suicidal ideation in children and adolescents using machine learning and deep learning algorithm: A case study in South Korea where suicide is the leading cause of death. Asian J Psychiatr 2023;88:103725. [PMID: 37595385 DOI: 10.1016/j.ajp.2023.103725] [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: 06/10/2023] [Revised: 08/01/2023] [Accepted: 08/04/2023] [Indexed: 08/20/2023]
8
Kister K, Laskowski J, Makarewicz A, Tarkowski J. Application of artificial intelligence tools in diagnosis and treatmentof mental disorders. CURRENT PROBLEMS OF PSYCHIATRY 2023. [DOI: 10.12923/2353-8627/2023-0001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]  Open
9
Nordin N, Zainol Z, Mohd Noor MH, Chan LF. An explainable predictive model for suicide attempt risk using an ensemble learning and Shapley Additive Explanations (SHAP) approach. Asian J Psychiatr 2023;79:103316. [PMID: 36395702 DOI: 10.1016/j.ajp.2022.103316] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 10/20/2022] [Accepted: 11/04/2022] [Indexed: 11/09/2022]
10
Aldhyani THH, Alsubari SN, Alshebami AS, Alkahtani H, Ahmed ZAT. Detecting and Analyzing Suicidal Ideation on Social Media Using Deep Learning and Machine Learning Models. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022;19:12635. [PMID: 36231935 PMCID: PMC9565132 DOI: 10.3390/ijerph191912635] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 09/28/2022] [Accepted: 09/30/2022] [Indexed: 06/16/2023]
11
Nordin N, Zainol Z, Mohd Noor MH, Chan LF. Suicidal behaviour prediction models using machine learning techniques: A systematic review. Artif Intell Med 2022;132:102395. [DOI: 10.1016/j.artmed.2022.102395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 08/12/2022] [Accepted: 08/29/2022] [Indexed: 11/02/2022]
12
Lee J, Pak TY. Machine learning prediction of suicidal ideation, planning, and attempt among Korean adults: A population-based study. SSM Popul Health 2022;19:101231. [PMID: 36263295 PMCID: PMC9573904 DOI: 10.1016/j.ssmph.2022.101231] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 09/09/2022] [Accepted: 09/13/2022] [Indexed: 11/18/2022]  Open
13
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]
14
Colic S, He JC, Richardson JD, Cyr KS, Reilly JP, Hasey GM. A machine learning approach to identification of self-harm and suicidal ideation among military and police Veterans. JOURNAL OF MILITARY, VETERAN AND FAMILY HEALTH 2022. [DOI: 10.3138/jmvfh-2021-0035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
15
Na KS, Geem ZW, Cho SE. The Development of a Suicidal Ideation Predictive Model for Community-Dwelling Elderly Aged >55 Years. Neuropsychiatr Dis Treat 2022;18:163-172. [PMID: 35140466 PMCID: PMC8819701 DOI: 10.2147/ndt.s336947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 01/20/2022] [Indexed: 11/23/2022]  Open
16
Chou PH, Wang SC, Wu CS, Horikoshi M, Ito M. A machine-learning model to predict suicide risk in Japan based on national survey data. Front Psychiatry 2022;13:918667. [PMID: 35990064 PMCID: PMC9387201 DOI: 10.3389/fpsyt.2022.918667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 07/11/2022] [Indexed: 11/13/2022]  Open
17
Comparing machine learning to a rule-based approach for predicting suicidal behavior among adolescents: Results from a longitudinal population-based survey. J Affect Disord 2021;295:1415-1420. [PMID: 34620490 DOI: 10.1016/j.jad.2021.09.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 07/22/2021] [Accepted: 09/12/2021] [Indexed: 11/21/2022]
18
Nordin N, Zainol Z, Mohd Noor MH, Lai Fong C. A comparative study of machine learning techniques for suicide attempts predictive model. Health Informatics J 2021;27:1460458221989395. [PMID: 33745355 DOI: 10.1177/1460458221989395] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
19
Kim S, Lee HK, Lee K. Detecting suicidal risk using MMPI-2 based on machine learning algorithm. Sci Rep 2021;11:15310. [PMID: 34321546 PMCID: PMC8319391 DOI: 10.1038/s41598-021-94839-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 07/13/2021] [Indexed: 12/25/2022]  Open
20
Which PHQ-9 Items Can Effectively Screen for Suicide? Machine Learning Approaches. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021;18:ijerph18073339. [PMID: 33804879 PMCID: PMC8036742 DOI: 10.3390/ijerph18073339] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 03/21/2021] [Accepted: 03/22/2021] [Indexed: 12/21/2022]
21
Mansourian M, Khademi S, Marateb HR. A Comprehensive Review of Computer-Aided Diagnosis of Major Mental and Neurological Disorders and Suicide: A Biostatistical Perspective on Data Mining. Diagnostics (Basel) 2021;11:393. [PMID: 33669114 PMCID: PMC7996506 DOI: 10.3390/diagnostics11030393] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 02/13/2021] [Accepted: 02/17/2021] [Indexed: 02/07/2023]  Open
22
Kim S, Lee K. Screening for Depression in Mobile Devices Using Patient Health Questionnaire-9 (PHQ-9) Data: A Diagnostic Meta-Analysis via Machine Learning Methods. Neuropsychiatr Dis Treat 2021;17:3415-3430. [PMID: 34848962 PMCID: PMC8612669 DOI: 10.2147/ndt.s339412] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 11/02/2021] [Indexed: 12/25/2022]  Open
23
Desai S, Tanguay-Sela M, Benrimoh D, Fratila R, Brown E, Perlman K, John A, DelPozo-Banos M, Low N, Israel S, Palladini L, Turecki G. Identification of Suicidal Ideation in the Canadian Community Health Survey-Mental Health Component Using Deep Learning. Front Artif Intell 2021;4:561528. [PMID: 34250463 PMCID: PMC8264793 DOI: 10.3389/frai.2021.561528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 05/25/2021] [Indexed: 11/13/2022]  Open
24
Taylor AK, Steeg S, Quinlivan L, Gunnell D, Hawton K, Kapur N. Accuracy of individual and combined risk-scale items in the prediction of repetition of self-harm: multicentre prospective cohort study. BJPsych Open 2020;7:e2. [PMID: 33261707 PMCID: PMC7791570 DOI: 10.1192/bjo.2020.123] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 09/18/2020] [Accepted: 09/29/2020] [Indexed: 11/25/2022]  Open
25
Salazar de Pablo G, Studerus E, Vaquerizo-Serrano J, Irving J, Catalan A, Oliver D, Baldwin H, Danese A, Fazel S, Steyerberg EW, Stahl D, Fusar-Poli P. Implementing Precision Psychiatry: A Systematic Review of Individualized Prediction Models for Clinical Practice. Schizophr Bull 2020;47:284-297. [PMID: 32914178 PMCID: PMC7965077 DOI: 10.1093/schbul/sbaa120] [Citation(s) in RCA: 86] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
26
Bernert RA, Hilberg AM, Melia R, Kim JP, Shah NH, Abnousi F. Artificial Intelligence and Suicide Prevention: A Systematic Review of Machine Learning Investigations. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020;17:E5929. [PMID: 32824149 PMCID: PMC7460360 DOI: 10.3390/ijerph17165929] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 07/28/2020] [Indexed: 12/12/2022]
27
Liu D, Yu M, Duncan J, Fondario A, Kharrazi H, Nestadt PS. Discovering the Unclassified Suicide Cases Among Undetermined Drug Overdose Deaths Using Machine Learning Techniques. Suicide Life Threat Behav 2020;50:333-344. [PMID: 31536175 DOI: 10.1111/sltb.12591] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 06/24/2019] [Indexed: 11/30/2022]
28
Early-life stressful events and suicide attempt in schizophrenia: Machine learning models. Schizophr Res 2020;218:329-331. [PMID: 31973994 DOI: 10.1016/j.schres.2019.11.061] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 10/10/2019] [Accepted: 11/30/2019] [Indexed: 11/20/2022]
29
Zheng L, Wang O, Hao S, Ye C, Liu M, Xia M, Sabo AN, Markovic L, Stearns F, Kanov L, Sylvester KG, Widen E, McElhinney DB, Zhang W, Liao J, Ling XB. Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records. Transl Psychiatry 2020;10:72. [PMID: 32080165 PMCID: PMC7033212 DOI: 10.1038/s41398-020-0684-2] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 11/12/2019] [Accepted: 11/22/2019] [Indexed: 02/05/2023]  Open
30
Lee HJ. How to Develop Psychiatry Investigation into a World Class Journal. Psychiatry Investig 2019;16:875-876. [PMID: 31870088 PMCID: PMC6933130 DOI: 10.30773/pi.2019.0317] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]  Open
31
Fonseka TM, Bhat V, Kennedy SH. The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors. Aust N Z J Psychiatry 2019;53:954-964. [PMID: 31347389 DOI: 10.1177/0004867419864428] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
32
Senanayake S, White N, Graves N, Healy H, Baboolal K, Kularatna S. Machine learning in predicting graft failure following kidney transplantation: A systematic review of published predictive models. Int J Med Inform 2019;130:103957. [PMID: 31472443 DOI: 10.1016/j.ijmedinf.2019.103957] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 07/15/2019] [Accepted: 08/21/2019] [Indexed: 01/11/2023]
33
Ryu S, Lee H, Lee DK, Kim SW, Kim CE. Detection of Suicide Attempters among Suicide Ideators Using Machine Learning. Psychiatry Investig 2019;16:588-593. [PMID: 31446686 PMCID: PMC6710424 DOI: 10.30773/pi.2019.06.19] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2019] [Accepted: 06/19/2019] [Indexed: 01/10/2023]  Open
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