Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...
Full BioNand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...
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Can Artificial Intelligence Predict Suicide?
"The assessment of suicide risk is among the most challenging problems facing mental health clinicians, as suicide is the second-leading cause of death among young adults. Furthermore, predictions by both clinicians and patients of future suicide risk have been shown to be relatively poor predictors of future suicide attempt. In addition, suicidal patients may disguise their suicidal intent as part of their suicidal planning or to avoid more restrictive care. Nearly 80% of patients who die by suicide deny suicidal ideation in their last contact with a mental healthcare professional. This status identifies a compelling need to develop markers of suicide risk that do not rely on self-report. Biologically based markers of altered conceptual representations have the potential to complement and improve the accuracy of clinical risk assessment."
- Do study subjects with differ from controls in terms of neural representations of death-related and suicide-related concepts, such that a computer can consistently tell the difference from imaging?
- Can a machine-learning model tell the difference between people who have attempted suicide and those who have not?
- Are there different emotional signatures between subjects and controls which would allow a computer to tell whether someone is a member of the suicidal ideation group or the control group? [This last question is closely related to the question of whether a computer-based analysis could predict who is likely to try to harm her or himself].
- To this end, researchers recruited 79 young adults who either currently were experiencing suicidal ideation or were controls with no personal or family psychiatric history. They used several suicide-related instruments, and assessed for depression, anxiety, childhood trauma, and other psychiatric conditions using clinician evaluation and validated rating scales. They used functional magnetic resonance imaging (fMRI) to analyze brain activity in relation to a 30 concept framework about suicide thinking.
