参考文献

[1] [1]Lu J, Xu X, Huang Y, et al. Prevalence of depressive disorders and treatment in China: a cross-sectional epidemiological study[J][J]. Lancet Psychiatry, 2021, 8(11): 981-990.

[2] [2]Mathers CD, Loncar D. Projections of global mortality and burden of disease from 2002 to 2030[J] [J]. PLoS Med , 2006 , 3 (11 ): e442 - .

[3] [3]Wang YH, Shi ZT, Luo QY. Association of depressive symptoms and suicidal ideation among university students in China: A systematic review and meta-analysis[J][J]. Medicine (Baltimore), 2017, 96(13): e6476-.

[4] [4]McGirr A, Renaud J, Seguin M, et al. An examination of DSM-IV depressive symptoms and risk for suicide completion in major depressive disorder: a psychological autopsy study[J][J]. J Affect Disord, 2007, 97(1-3): 203-209.

[5] [5]Breslin K, Balaban J, Shubkin CD. Adolescent suicide: what can pediatricians do?[J][J]. Curr Opin Pediatr, 2020, 32(4): 595-600.

[6] [6]Miller JN,Black DW. Bipolar Disorder and Suicide: a Review[J][J]. Curr Psychiatry Rep, 2020, 22(2): 6-.

[7] [7]Runeson B, Odeberg J, Pettersson A, et al. Instruments for the assessment of suicide risk: A systematic review evaluating the certainty of the evidence[J][J]. PLoS One, 2017, 12(7): e0180292-.

[8] [8]Bolton JM, Gunnell D, Turecki G. Suicide risk assessment and intervention in people with mental illness[J][J]. BMJ, 2015, 351(): h4978-.

[9] [9]McCarthy JF, Bossarte RM, Katz IR, et al. Predictive Modeling and Concentration of the Risk of Suicide: Implications for Preventive Interventions in the US Department of Veterans Affairs[J][J]. Am J Public Health, 2015, 105(9): 1935-1942.

[10] [10]Kessler RC, Hwang I, Hoffmire CA, et al. Developing a practical suicide risk prediction model for targeting high-risk patients in the Veterans health Administration[J][J]. Int J Methods Psychiatr Res, 2017, 26(3): e1575-.

[11] [11]Kessler RC, Warner CH, Ivany C, et al. Predicting suicides after psychiatric hospitalization in US Army soldiers: the Army Study To Assess Risk and rEsilience in Servicemembers (Army STARRS)[J][J]. JAMA Psychiatry, 2015, 72(1): 49-57.

[12] [12]Barak-Corren Y, Castro VM, Nock MK, et al. Validation of an Electronic Health Record-Based Suicide Risk Prediction Modeling Approach Across Multiple Health Care Systems[J][J]. JAMA Netw Open, 2020, 3(3): e201262-.

[13] [13]Bayramli I, Castro V, Barak-Corren Y, et al. Temporally informed random forests for suicide risk prediction[J][J]. J Am Med Inform Assoc, 2021, 29(1): 62-71.

[14] [14]Aldhyani THH, Alsubari SN, Alshebami AS, et al. Detecting and Analyzing Suicidal Ideation on Social Media Using Deep Learning and Machine Learning Models[J][J]. Int J Environ Res Public Health, 2022, 19(19): 12635-.

[15] [15]Pan W, Wang X, Zhou W, et al. Linguistic Analysis for Identifying Depression and Subsequent Suicidal Ideation on Weibo: Machine Learning Approaches[J][J]. Int J Environ Res Public Health, 2023, 20(3): 2688-.

[16] [16]Kleiman EM, Turner BJ, Fedor S, et al. Examination of real-time fluctuations in suicidal ideation and its risk factors: Results from two ecological momentary assessment studies[J][J]. J Abnorm Psychol, 2017, 126(6): 726-738.

[17] [17]Czyz EK, King CA, Al-Dajani N, et al. Ecological Momentary Assessments and Passive Sensing in the Prediction of Short-Term Suicidal Ideation in Young Adults[J][J]. JAMA Netw Open, 2023, 6(8): e2328005-.

[18] [18]Yang J, Zhang M, Ahn H, et al. Development and evaluation of a multimodal marker of major depressive disorder[J][J]. Hum Brain Mapp, 2018, 39(11): 4420-4439.

[19] [19]Weng JC, Lin TY, Tsai YH, et al. An Autoencoder and Machine Learning Model to Predict Suicidal Ideation with Brain Structural Imaging[J][J]. J Clin Med, 2020, 9(3): 658-.

[20] [20]Hong S, Liu YS, Cao B, et al. Identification of suicidality in adolescent major depressive disorder patients using sMRI: A machine learning approach[J][J]. J Affect Disord, 2021, 280(Pt A): 72-76.

[21] [21]Chen VC, Wong FT, Tsai YH, et al. Convolutional Neural Network-Based Deep Learning Model for Predicting Differential Suicidality in Depressive Patients Using Brain Generalized q-Sampling Imaging[J][J]. J Clin Psychiatry, 2021, 82(2): 19m13225-.

[22] [22]Le-Niculescu H, Levey DF, Ayalew M, et al. Discovery and validation of blood biomarkers for suicidality[J][J]. Mol Psychiatry, 2013, 18(12): 1249-1264.

[23] [23]Davies MN, Krause L, Bell JT, et al. Hypermethylation in the ZBTB20 gene is associated with major depressive disorder[J][J]. Genome Biol, 2014, 15(4): R56-.

[24] [24]Guintivano J, Brown T, Newcomer A, et al. Identification and replication of a combined epigenetic and genetic biomarker predicting suicide and suicidal behaviors[J][J]. Am J Psychiatry, 2014, 171(12): 1287-1296.

[25] [25]Spijker S, Van Zanten JS, De Jong S, et al. Stimulated gene expression profiles as a blood marker of major depressive disorder[J][J]. Biol Psychiatry, 2010, 68(2): 179-186.

[26] [26]Setoyama D, Kato TA, Hashimoto R, et al. Plasma Metabolites Predict Severity of Depression and Suicidal Ideation in Psychiatric Patients-A Multicenter Pilot Analysis[J][J]. PLoS One, 2016, 11(12): e0165267-.

[27] [27]Bhak Y, Jeong HO, Cho YS, et al. Depression and suicide risk prediction models using blood-derived multi-omics data[J][J]. Transl Psychiatry, 2019, 9(1): 262-.

[28] [28]Taguchi T, Tachikawa H, Nemoto K, et al. Major depressive disorder discrimination using vocal acoustic features[J][J]. J Affect Disord, 2018, 225(): 214-220.

[29] [29]Cummins N, Scherer S, Krajewski J, et al. A review of depression and suicide risk assessment using speech analysis[J][J]. Speech Commun, 2015, 71(): 10-49.

[30] [30]Belouali A, Gupta S, Sourirajan V, et al. Acoustic and language analysis of speech for suicidal ideation among US veterans[J][J]. BioData Min, 2021, 14(1): 11-.

[31] [31]Pestian J, Santel D, Sorter M, et al. A Machine Learning Approach to Identifying Changes in Suicidal Language[J][J]. Suicide Life Threat Behav, 2020, 50(5): 939-947.

[32] [32]Min S, Shin D, Rhee SJ, et al. Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality[J][J]. J Med Internet Res, 2023, 25(): e45456-.

[33] [34]Galatzer-Levy I, Abbas A, Ries A, et al. Validation of Visual and Auditory Digital Markers of Suicidality in Acutely Suicidal Psychiatric Inpatients: Proof-of-Concept Study[J][J]. J Med Internet Res, 2021, 23(6): e25199-.

[34] [35]Matarazzo BB, Eagan A, Landes SJ, et al. The Veterans Health Administration REACH VET Program: Suicide Predictive Modeling in Practice[J][J]. Psychiatr Serv, 2023, 74(2): 206-209.

[35] [36]Fonseca-Pedrero E, Al-Halabí S, Pérez-Albéniz A,et al. Risk and Protective Factors in Adolescent Suicidal Behaviour: A Network Analysis[J][J]. Int J Environ Res Public Health, 2022, 19(3): 1784-.

[36] [37]Beghi M, Butera E, Cerri CG, et al. Suicidal behaviour in older age: A systematic review of risk factors associated to suicide attempts and completed suicides[J][J]. Neurosci Biobehav Rev, 2021, 127(): 193-211.

[37] Wasserman D, Carli V, Iosue M, et al. Suicide prevention in psychiatric patients[J][J]. Asia Pac Psychiatry, 2021, 13(3): e12450-.