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The Development of a Suicidal Ideation Predictive Model for Community-Dwelling Elderly Aged >55 Years.

Kyoung-Sae NaZong Woo GeemSeo-Eun Cho
Published in: Neuropsychiatric disease and treatment (2022)
Machine learning can be used to create algorithms for predicting suicidal ideation in community-dwelling elderly. However, there are limitations to predicting future suicidal ideation. A predictive model that includes both biological and cognitive indicators should be created in the future.
Keyphrases
  • community dwelling
  • machine learning
  • current status
  • deep learning
  • artificial intelligence
  • big data