We've been interested in the possibility of learning causal processes using directed acyclic graphs for a few years now. We recently released a package for learning and applying directed acyclic graphs on CRAN. You can find information here: https://t.co/srGvpNPISx. @frankiorfino
New work in @npjMentalHealth about how individual-level trajectories of suicide ideation can be learned and predictions dynamically updated with new information
Implications for personalised care!
@ian_hickie@MathewVaridel@ProfSallyCripps
🧵 1/8
https://t.co/k76ef1qxBU
🚨Our paper on understanding the temporal dependencies between transdiagnostic mental health and other relevant factors using Bayesian networks.
TLDR: Functioning has temporal effects on suicidality
@MathewVaridel @IanHickie @ProfSallyCripps
https://t.co/FTlVN2Czs3