A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial

@article{Pestian2017AML,
  title={A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial},
  author={J. Pestian and M. Sorter and B. Connolly and K. Bretonnel Cohen and C. Mccullumsmith and Jeffry T Gee and Louis-Philippe Morency and Stefan Scherer and Lesley Rohlfs},
  journal={Suicide and Life‐Threatening Behavior},
  year={2017},
  volume={47},
  pages={112–121}
}
Death by suicide demonstrates profound personal suffering and societal failure. While basic sciences provide the opportunity to understand biological markers related to suicide, computer science provides opportunities to understand suicide thought markers. In this novel prospective, multimodal, multicenter, mixed demographic study, we used machine learning to measure and fuse two classes of suicidal thought markers: verbal and nonverbal. Machine learning algorithms were used with the subjects… Expand
68 Citations
A Machine Learning Approach to Identifying Changes in Suicidal Language.
  • 1
Acoustic and language analysis of speech for suicidal ideation among US veterans
  • PDF
AI enabled suicide prediction tools: a qualitative narrative review
  • 1
  • PDF
A Feasibility Study Using a Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in Adolescent Therapy Sessions
  • 2
  • PDF
The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors
  • 10
Artificial Intelligence and Suicide Prevention: A Systematic Review of Machine Learning Investigations
  • 2
  • PDF
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 63 REFERENCES
Discovery and validation of blood biomarkers for suicidality
  • 131
  • PDF
Adolescent suicidal risk assessment in clinician-patient interaction: A study of verbal and acoustic behaviors
  • 11
  • PDF
Prediction of suicide in psychiatric patients. Report of a prospective study.
  • A. Pokorny
  • Medicine
  • Archives of general psychiatry
  • 1983
  • 638
  • Highly Influential
Adolescent Suicidal Risk Assessment in Clinician-Patient Interaction
  • 31
  • PDF
Using Natural Language Processing to Classify Suicide Notes
  • 61
  • PDF
Assessment of suicidal intention: the Scale for Suicide Ideation.
  • 2,217
  • PDF
Neurobiology of suicide: do biomarkers exist?
  • 47
  • PDF
A review of depression and suicide risk assessment using speech analysis
  • 317
  • PDF
...
1
2
3
4
5
...