Posted: Dec 06, 2023
Validity of Diagnostic Support Model for Attention Deficit Hyperactivity Disorder: A Machine Learning Approach
KC Chu et al, JPM, October 25, 2023
From the abstract: "An accurate and early diagnosis of attention deficit hyperactivity disorder can improve health outcomes and prevent unnecessary medical expenses. This study developed a diagnostic support model using a machine learning approach to effectively screen individuals for attention deficit hyperactivity disorder. Three models were developed: a logistic regression model, a classification and regression tree (CART), and a neural network. The models were assessed by using a receiver operating characteristic analysis. In total, 74 participants were enrolled into the disorder group, while 21 participants were enrolled in the control group. "
FASDetect as a machine learning-based screening app for FASD in youth with ADHD
L Ehrig et al, NPJ Digital Medicine, July 19, 2023
Fetal alcohol-spectrum disorder (FASD) is underdiagnosed and often misdiagnosed as attention-deficit/hyperactivity disorder (ADHD). Here, we develop a screening tool for FASD in youth with ADHD symptoms. To develop the prediction model, medical record data from a University outpatient unit are assessed including 275 patients aged 0–19 years old with FASD with or without ADHD and 170 patients with ADHD without FASD aged 0–19 years old. We train 6 machine learning models based on 13 selected variables and evaluate their performance.
Evaluation of Birth Weight and Neurodevelopmental Conditions Among Monozygotic and Dizygotic Twins.
Johan Isaksson et al. JAMA Netw Open 2023 6 (6) e2321165
After adjustment for genetic factors, is birth weight associated with neurodevelopmental conditions? In this case-control study of 393 twins in Sweden, the twin with a lower birth weight in monozygotic twin pairs, but not dizygotic pairs, had more autism and attention-deficit/hyperactivity disorder (ADHD) symptoms, lower IQ ratings, and higher odds of having a diagnosis of autism and ADHD compared with their co-twin. These findings suggest that birth weight contributes to neurodevelopmental conditions when adjusting for genetic factors.