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Citing this Article

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Published on 22.06.18 in Vol 5, No 2 (2018): Apr-Jun

This paper is in the following e-collection/theme issue:

Works citing "Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/10144):

(note that this is only a small subset of citations)

  1. Jayasinghe L, Bittar A, Dutta R, Stewart R. Clinician-recalled quoted speech in electronic health records and risk of suicide attempt: a case–crossover study. BMJ Open 2020;10(4):e036186
    CrossRef
  2. John A, DelPozo-Banos M, Gunnell D, Dennis M, Scourfield J, Ford DV, Kapur N, Lloyd K. Contacts with primary and secondary healthcare prior to suicide: case–control whole-population-based study using person-level linked routine data in Wales, UK, 2000–2017. The British Journal of Psychiatry 2020;:1
    CrossRef
  3. Posada-Quintero HF, Molano-Vergara PN, Parra-Hernández RM, Posada-Quintero JI. Analysis of Risk Factors and Symptoms of Burnout Syndrome in Colombian School Teachers under Statutes 2277 and 1278 Using Machine Learning Interpretation. Social Sciences 2020;9(3):30
    CrossRef
  4. McHugh CM, Large MM. Can machine-learning methods really help predict suicide?. Current Opinion in Psychiatry 2020;33(4):369
    CrossRef
  5. Kumar P, Nestsiarovich A, Nelson SJ, Kerner B, Perkins DJ, Lambert CG. Imputation and characterization of uncoded self-harm in major mental illness using machine learning. Journal of the American Medical Informatics Association 2019;
    CrossRef
  6. Martínez-Alés G, Keyes KM. Fatal and Non-fatal Self-Injury in the USA: Critical Review of Current Trends and Innovations in Prevention. Current Psychiatry Reports 2019;21(10)
    CrossRef
  7. Belsher BE, Smolenski DJ, Pruitt LD, Bush NE, Beech EH, Workman DE, Morgan RL, Evatt DP, Tucker J, Skopp NA. Prediction Models for Suicide Attempts and Deaths. JAMA Psychiatry 2019;76(6):642
    CrossRef