Positive predictive value of a register-based algorithm using the Danish National Registries to identify suicidal events.

Christiane GasseAndreas Aalkjaer DanielsenMarianne Giørtz PedersenCarsten Bøcker PedersenOle MorsJakob Christensen

Published in: Pharmacoepidemiology and drug safety (2018)

The DK-algorithm can reliably identify self-harm with suicidal intention in 52% of the identified cases of suicide attempts/self-harm. The PPVs could be used for quantitative bias analysis and implemented as weights in future studies to estimate the proportion of suicidal events among cases identified via the DK-algorithm.

Keyphrases

depressive symptoms
machine learning
deep learning
neural network
high resolution
quality improvement
current status
case control