Emotional hyper-reactivity and cardiometabolic risk in remitted bipolar patients: a machine learning approach.

A A DargélF RousselS VolantBruno EtainR GrantJ-M AzorinK M'BailaraFrank BellivierT BougerolJ-P KahnP RouxV AubinP CourtetM Leboyernull nullF KapczinskiChantal Henry

Published in: Acta psychiatrica Scandinavica (2018)

The assessment of emotional hyper-reactivity in remitted BD patients is clinically relevant, particularly for identifying those at higher risk of cardiometabolic dysfunction, chronic inflammation, and suicide.

Keyphrases

end stage renal disease
machine learning
ejection fraction
newly diagnosed
oxidative stress
chronic kidney disease
peritoneal dialysis
prognostic factors
patient reported outcomes
bipolar disorder
artificial intelligence