This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2410) Artificial Intelligence (1371) Diagnostic Tools in Mental Health (242) Machine Learning (1465) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185) Clinical Information and Decision Making (30) New Diagnostic Tools and Instruments for Pediatrics (26) Screening and Early Diagnosis in Pediatrics (28) Autism Spectrum Disorder (ASD) (109) Attention Deficit Disorder (ADD/ADHD) (60)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54577, first published .
Use of Machine Learning Models to Differentiate Neurodevelopment Conditions Through Digitally Collected Data: Cross-Sectional Questionnaire Study

Use of Machine Learning Models to Differentiate Neurodevelopment Conditions Through Digitally Collected Data: Cross-Sectional Questionnaire Study

Use of Machine Learning Models to Differentiate Neurodevelopment Conditions Through Digitally Collected Data: Cross-Sectional Questionnaire Study

Authors of this article:

Silvia Grazioli1, 2, 3 Author Orcid Image ;   Alessandro Crippa1 Author Orcid Image ;   Noemi Buo1 Author Orcid Image ;   Silvia Busti Ceccarelli1 Author Orcid Image ;   Massimo Molteni1 Author Orcid Image ;   Maria Nobile1 Author Orcid Image ;   Antonio Salandi1 Author Orcid Image ;   Sara Trabattoni1 Author Orcid Image ;   Gabriele Caselli2, 3 Author Orcid Image ;   Paola Colombo1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

There are no citations yet available for this article according to Crossref .