Personalizing Recovery: The Data-Driven Approach
Échec de l'ajout au panier.
Échec de l'ajout à la liste d'envies.
Échec de la suppression de la liste d’envies.
Échec du suivi du balado
Ne plus suivre le balado a échoué
Personalizing Recovery: The Data-Driven Approach
-
Narrateur(s):
-
Auteur(s):
À propos de cet audio
A recent study sponsored by the NIAAA explored the use of machine learning in tailoring treatments for Alcohol Use Disorder (AUD). By analyzing drinking behaviors, researchers identified three distinct clusters—mild, moderate, and severe—that could lead to personalized treatment strategies, enhancing effectiveness. This innovative approach not only aids clinicians in decision-making but also highlights significant sex-specific differences in drinking patterns, emphasizing the need for individualized care in recovery processes.
Source: https://onlinelibrary.wiley.com/doi/10.1111/adb.70069?af=R
This podcast is part of the InterCoast Media Network
Check our certificate training programs HERE
Check our Degrees HERE
Follow us:
Facebook
Twitter
Instagram
YouTube
LinkedIn