Early detection of autism using digital behavioral phenotyping
Early detection of autism, a neurodevelopmental condition associated with challenges in
social communication, ensures timely access to intervention. Autism screening …
social communication, ensures timely access to intervention. Autism screening …
[HTML][HTML] AI in Rehabilitation Medicine: Opportunities and Challenges
Artificial intelligence (AI) tools are increasingly able to learn from larger and more complex
data, thus allowing clinicians and scientists to gain new insights from the information they …
data, thus allowing clinicians and scientists to gain new insights from the information they …
Machine Learning Prediction of Autism Spectrum Disorder From a Minimal Set of Medical and Background Information
SS Rajagopalan, Y Zhang, A Yahia… - JAMA Network …, 2024 - jamanetwork.com
Importance Early identification of the likelihood of autism spectrum disorder (ASD) using
minimal information is crucial for early diagnosis and intervention, which can affect …
minimal information is crucial for early diagnosis and intervention, which can affect …
[HTML][HTML] Enhancing early autism prediction based on electronic records using clinical narratives
Recent work has shown that predictive models can be applied to structured electronic health
record (EHR) data to stratify autism likelihood from an early age (< 1 year). Integrating …
record (EHR) data to stratify autism likelihood from an early age (< 1 year). Integrating …
Identifying Precise Targets to Improve Child Mental Health Care Equity: Leveraging Advances in Clinical Research Informatics and Lived Experience
BT Zima, JB Edgcomb… - Child and Adolescent …, 2024 - childpsych.theclinics.com
Child Adolesc Psychiatric Clin N Am-(2024)-–-https://doi. org/10.1016/j. chc. 2024.03. 009
childpsych. theclinics. com 1056-4993/24/© 2024 Elsevier Inc. All rights reserved. health …
childpsych. theclinics. com 1056-4993/24/© 2024 Elsevier Inc. All rights reserved. health …
Near-optimal solutions of constrained learning problems
With the widespread adoption of machine learning systems, the need to curtail their
behavior has become increasingly apparent. This is evidenced by recent advancements …
behavior has become increasingly apparent. This is evidenced by recent advancements …
Predicting autism traits from baby wellness records: A machine learning approach
A Ben-Sasson, J Guedalia, K Ilan, M Shaham… - …, 2024 - journals.sagepub.com
Early detection of autism spectrum condition is crucial for children to maximally benefit from
early intervention. The study examined a machine learning model predicting the increased …
early intervention. The study examined a machine learning model predicting the increased …
Early Prediction of Autistic Spectrum Disorder Using Developmental Surveillance Data
Importance With the continuous increase in the prevalence of autistic spectrum disorder
(ASD), effective early screening is crucial for initiating timely interventions and improving …
(ASD), effective early screening is crucial for initiating timely interventions and improving …
A conditional multi-label model to improve prediction of a rare outcome: An illustration predicting autism diagnosis
WA Huang, M Engelhard, M Coffman, ED Hill… - Journal of Biomedical …, 2024 - Elsevier
Objective This study aimed to develop a novel approach using routinely collected electronic
health records (EHRs) data to improve the prediction of a rare event. We illustrated this …
health records (EHRs) data to improve the prediction of a rare event. We illustrated this …
Sex differences in the age of childhood autism diagnosis and the impact of co‐occurring conditions
Sex differences in the age of autism diagnosis during childhood have been documented
consistently but remain poorly understood. In this study, we used electronic health records …
consistently but remain poorly understood. In this study, we used electronic health records …