Identifying non-adult attention-deficit/hyperactivity disorder individuals using a stacked machine learning algorithm using administrative data population registers in a universal healthcare system

featured ACAMH papers
Bringing you some selected Open Access journal papers from our portfolio; The Journal of Child Psychology and Psychiatry (JCPP), Child and Adolescent Mental Health journal (CAMH), and JCPP Advances.

Posted on

‘Identifying non-adult attention-deficit/hyperactivity disorder individuals using a stacked machine learning algorithm using administrative data population registers in a universal healthcare system’

Open Access paper from JCPP Advances

We used a stacked model combining 4 ML approaches to predict the presence of ADHD. The dataset contains data from population health care administrative registers in Catalonia comprising 1,225,406 non-adult individuals for 2013–2017, linked to socioeconomic characteristics and dispensed drug consumption. We defined a measure of proper ADHD diagnoses based on medical factors.

Authors: David Roche, Toni Mora, Jordi Cid

First published: 18 September 2023

https://doi.org/10.1002/jcv2.12193

Read the full paper

ACAMH members should follow this link:

Add a comment

Your email address will not be published. Required fields are marked *

*