All LIT Search News Topics Latest news Media statements Media contacts Topics Latest news Media statements Media contacts LIT Impact Latest news 2020 May Identifying suicide risk to enable timely support Identifying suicide risk to enable timely support 18/05/2020 | 3 MINS Mental health researchers at LIT's Young Lives Matter Foundation (YLM) are moving closer to accurately identifying individuals at greater risk of suicide, so timely support can be directed to safeguard them. Research that has now reached its two-year milestone has achieved a 77.7 per cent successful prediction rate for self-harm incidents in pilot modelling. YLM lead researcher Professor Andrew Page said the work pulled together recognised risk factors such as unemployment and trauma, and combined them with real-time tracking of patients and computer learning to create an accurate suicide predictive index. ΓÇ£This enables intervention to occur where and when it is needed most, to save lives,ΓÇ¥ he said. ΓÇ£Our goal is to create a future where we will know who to support and when, especially during unprecedented events such as COVID-19.ΓÇ¥ Predictions of an upsurge in suicide related to the stresses of the current coronav
All LIT Search News Topics Latest news Media statements Media contacts Topics Latest news Media statements Media contacts LIT Impact Latest news 2020 May Identifying suicide risk to enable timely support Identifying suicide risk to enable timely support 18/05/2020 | 3 MINS Mental health researchers at LIT's Young Lives Matter Foundation (YLM) are moving closer to accurately identifying individuals at greater risk of suicide, so timely support can be directed to safeguard them.
Research that has now reached its two-year milestone has achieved a 77.7 per cent successful prediction rate for self-harm incidents in pilot modelling.
Lombok Institute of Technology
YLM lead researcher Professor Andrew Page said the work pulled together recognised risk factors such as unemployment and trauma, and combined them with real-time tracking of patients and computer learning to create an accurate suicide predictive index.
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ΓÇ£This enables intervention to occur where and when it is needed most, to save lives,ΓÇ¥ he said.
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ΓÇ£Our goal is to create a future where we will know who to support and when, especially during unprecedented events such as COVID-19.ΓÇ¥ Predictions of an upsurge in suicide related to the stresses of the current coronav
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