Predicting levels of prolonged grief disorder symptoms during the COVID-19 pandemic: An integrated approach of classical data exploration, predictive machine …

J Cherblanc, S Gaboury, J Maître, I Côté… - Journal of Affective …, 2024 - Elsevier
Abstract Background Prior studies on Prolonged Grief Disorder (PGD) primarily employed
classical approaches to link bereaved individuals' characteristics with PGD symptom levels …

Predicting levels of prolonged grief disorder symptoms during the COVID-19 pandemic: An integrated approach of classical data exploration, predictive machine …

J Cherblanc, S Gaboury, J Maître, I Côté… - Journal of Affective …, 2024 - psycnet.apa.org
Background: Prior studies on Prolonged Grief Disorder (PGD) primarily employed classical
approaches to link bereaved individuals' characteristics with PGD symptom levels. This …

Predicting levels of prolonged grief disorder symptoms during the COVID-19 pandemic: An integrated approach of classical data exploration, predictive machine …

J Cherblanc, S Gaboury, J Maître, I Côté… - Journal of Affective …, 2024 - europepmc.org
Background Prior studies on Prolonged Grief Disorder (PGD) primarily employed classical
approaches to link bereaved individuals' characteristics with PGD symptom levels. This …

Predicting levels of prolonged grief disorder symptoms during the COVID-19 pandemic: An integrated approach of classical data exploration, predictive machine …

J Cherblanc, S Gaboury, J Maître… - Journal of affective …, 2024 - pubmed.ncbi.nlm.nih.gov
Background Prior studies on Prolonged Grief Disorder (PGD) primarily employed classical
approaches to link bereaved individuals' characteristics with PGD symptom levels. This …