Attention deficit & hyperactivity
Risk stratification and treatments of adult patients with ADHD affected by cardiomyopathic disease through machine learning
This project seeks to drive improvements in risk stratification and treatments for adult ADHD patients with cardiometabolic disease. Therefore, they make use of Real World Data through Machine Learning algorithms and natural language processing. The ultimate goal is to favor adherence and improve the clinical outcomes and quality of life of these people.
Other projects of the group include: CoCa: Use of technological applications to promote dopamine secretion in order to prevent Attention Deficit Hyperactivity Disorder (ADHD) from leading to harmful comorbidities.
PI: Josep Antoni Ramos Quiroga
Research group: Psychiatry, Mental Health and Addictions
Institution: Vall d’Hebron Institut de Recerca (VHIR)
Visit the website here.
For further information contact us.