Identification of suicidal behavior among psychiatrically hospitalized adolescents using natural language processing and machine learning of electronic health records
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Abstract
Suggested Citation
DOI: 10.1371/journal.pone.0211116
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References listed on IDEAS
- Alexander J Millner & Michael D Lee & Matthew K Nock, 2015. "Single-Item Measurement of Suicidal Behaviors: Validity and Consequences of Misclassification," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-17, October.
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Cited by:
- Abayomi Arowosegbe & Tope Oyelade, 2023. "Application of Natural Language Processing (NLP) in Detecting and Preventing Suicide Ideation: A Systematic Review," IJERPH, MDPI, vol. 20(2), pages 1-23, January.
- Sri Banerjee & Pat Dunn & Scott Conard & Asif Ali, 2024. "Mental Health Applications of Generative AI and Large Language Modeling in the United States," IJERPH, MDPI, vol. 21(7), pages 1-12, July.
- Rebecca A. Bernert & Amanda M. Hilberg & Ruth Melia & Jane Paik Kim & Nigam H. Shah & Freddy Abnousi, 2020. "Artificial Intelligence and Suicide Prevention: A Systematic Review of Machine Learning Investigations," IJERPH, MDPI, vol. 17(16), pages 1-25, August.
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- Rebecca A. Bernert & Amanda M. Hilberg & Ruth Melia & Jane Paik Kim & Nigam H. Shah & Freddy Abnousi, 2020. "Artificial Intelligence and Suicide Prevention: A Systematic Review of Machine Learning Investigations," IJERPH, MDPI, vol. 17(16), pages 1-25, August.
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