과제정보
연구 과제 주관 기관 : Korea Health Industry Development Institute (KHIDI)
참고문헌
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피인용 문헌
- Detection of Suicide Attempters among Suicide Ideators Using Machine Learning vol.16, pp.8, 2018, https://doi.org/10.30773/pi.2019.06.19
- The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors vol.53, pp.10, 2019, https://doi.org/10.1177/0004867419864428
- Early-life stressful events and suicide attempt in schizophrenia: Machine learning models vol.218, pp.None, 2020, https://doi.org/10.1016/j.schres.2019.11.061
- Discovering the Unclassified Suicide Cases Among Undetermined Drug Overdose Deaths Using Machine Learning Techniques vol.50, pp.2, 2020, https://doi.org/10.1111/sltb.12591
- Artificial Intelligence and Suicide Prevention: A Systematic Review of Machine Learning Investigations vol.17, pp.16, 2018, https://doi.org/10.3390/ijerph17165929
- Applications of Artificial Intelligence Methodologies to Behavioral and Social Sciences vol.29, pp.10, 2020, https://doi.org/10.1007/s10826-019-01689-x
- Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records vol.10, pp.1, 2018, https://doi.org/10.1038/s41398-020-0684-2
- A comparative study of machine learning techniques for suicide attempts predictive model vol.27, pp.1, 2018, https://doi.org/10.1177/1460458221989395
- Screening for Depression in Mobile Devices Using Patient Health Questionnaire-9 (PHQ-9) Data: A Diagnostic Meta-Analysis via Machine Learning Methods vol.17, pp.None, 2018, https://doi.org/10.2147/ndt.s339412
- A Comprehensive Review of Computer-Aided Diagnosis of Major Mental and Neurological Disorders and Suicide: A Biostatistical Perspective on Data Mining vol.11, pp.3, 2021, https://doi.org/10.3390/diagnostics11030393
- Which PHQ-9 Items Can Effectively Screen for Suicide? Machine Learning Approaches vol.18, pp.7, 2021, https://doi.org/10.3390/ijerph18073339
- Comparing machine learning to a rule-based approach for predicting suicidal behavior among adolescents: Results from a longitudinal population-based survey vol.295, pp.None, 2018, https://doi.org/10.1016/j.jad.2021.09.018
- Detecting suicidal risk using MMPI-2 based on machine learning algorithm vol.11, pp.1, 2021, https://doi.org/10.1038/s41598-021-94839-5
- Psychological Autopsy and Forensic Considerations in Completed Suicide of the SARS-CoV-2 Infected Patients. A Case Series and Literature Review vol.11, pp.23, 2018, https://doi.org/10.3390/app112311547
- Machine learning for suicidal ideation identification: A systematic literature review vol.128, pp.None, 2018, https://doi.org/10.1016/j.chb.2021.107095