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Citing this Article

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Published on 11.07.16 in Vol 3, No 3 (2016): Jul-Sept

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

Works citing "Predicting Risk of Suicide Attempt Using History of Physical Illnesses From Electronic Medical Records"

According to Crossref, the following articles are citing this article (DOI 10.2196/mental.5475):

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

  1. 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. Translational Psychiatry 2020;10(1)
    CrossRef
  2. Sanderson M, Bulloch AG, Wang J, Williams KG, Williamson T, Patten SB. Predicting death by suicide following an emergency department visit for parasuicide with administrative health care system data and machine learning. EClinicalMedicine 2020;20:100281
    CrossRef
  3. Sanderson M, Bulloch AG, Wang J, Williamson T, Patten SB. Predicting death by suicide using administrative health care system data: Can recurrent neural network, one-dimensional convolutional neural network, and gradient boosted trees models improve prediction performance?. Journal of Affective Disorders 2020;264:107
    CrossRef
  4. 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
  5. Sanderson M, Bulloch AG, Wang J, Williamson T, Patten SB. Predicting death by suicide using administrative health care system data: Can feedforward neural network models improve upon logistic regression models?. Journal of Affective Disorders 2019;257:741
    CrossRef
  6. Berrouiguet S, Billot R, Larsen ME, Lopez-Castroman J, Jaussent I, Walter M, Lenca P, Baca-García E, Courtet P. An Approach for Data Mining of Electronic Health Record Data for Suicide Risk Management: Database Analysis for Clinical Decision Support. JMIR Mental Health 2019;6(5):e9766
    CrossRef
  7. Liang Y, Zheng X, Zeng DD. A survey on big data-driven digital phenotyping of mental health. Information Fusion 2019;52:290
    CrossRef
  8. 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
  9. Chock MM, Lin JC, Athyal VP, Bostwick JM. Differences in Health Care Utilization in the Year Before Suicide Death: A Population-Based Case-Control Study. Mayo Clinic Proceedings 2019;94(10):1983
    CrossRef
  10. De la Cruz-Cano E. Association between FKBP5 and CRHR1 genes with suicidal behavior: A systematic review. Behavioural Brain Research 2017;317:46
    CrossRef