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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
  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
  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
  4. McHugh CM, Large MM. Can machine-learning methods really help predict suicide?. Current Opinion in Psychiatry 2020;33(4):369
  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;
  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)
  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