A review of and roadmap for data science and machine learning for the neuropsychiatric phenotype of autism

P Washington, DP Wall - Annual review of biomedical data …, 2023 - annualreviews.org
Autism spectrum disorder (autism) is a neurodevelopmental delay that affects at least 1 in 44
children. Like many neurological disorder phenotypes, the diagnostic features are …

[HTML][HTML] Classifying autism from crowdsourced semistructured speech recordings: machine learning model comparison study

NA Chi, P Washington, A Kline, A Husic… - JMIR pediatrics and …, 2022 - pediatrics.jmir.org
Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder that results
in altered behavior, social development, and communication patterns. In recent years …

Systematic Review of Emotion Detection with Computer Vision and Deep Learning

R Pereira, C Mendes, J Ribeiro, R Ribeiro, R Miragaia… - Sensors, 2024 - mdpi.com
Emotion recognition has become increasingly important in the field of Deep Learning (DL)
and computer vision due to its broad applicability by using human–computer interaction …

Validation of a Mobile App for Remote Autism Screening in Toddlers

PR Krishnappa Babu, JM Di Martino, R Aiello… - NEJM AI, 2024 - ai.nejm.org
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Personalization of stress mobile sensing using self-supervised learning

T Islam, P Washington - arXiv preprint arXiv:2308.02731, 2023 - arxiv.org
Stress is widely recognized as a major contributor to a variety of health issues. Stress
prediction using biosignal data recorded by wearables is a key area of study in mobile …

Self-supervised learning for audio-based emotion recognition

P Nimitsurachat, P Washington - arXiv preprint arXiv:2307.12343, 2023 - arxiv.org
Emotion recognition models using audio input data can enable the development of
interactive systems with applications in mental healthcare, marketing, gaming, and social …

Personalization of affective models using classical machine learning: a feasibility study

A Kargarandehkordi, M Kaisti, P Washington - Applied Sciences, 2024 - mdpi.com
Emotion recognition, a rapidly evolving domain in digital health, has witnessed significant
transformations with the advent of personalized approaches and advanced machine …

[HTML][HTML] A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health

P Washington - Journal of Medical Internet Research, 2024 - jmir.org
Modern machine learning approaches have led to performant diagnostic models for a
variety of health conditions. Several machine learning approaches, such as decision trees …

[HTML][HTML] Digitally Diagnosing Multiple Developmental Delays Using Crowdsourcing Fused With Machine Learning: Protocol for a Human-in-the-Loop Machine …

A Jaiswal, R Kruiper, A Rasool… - JMIR Research …, 2024 - researchprotocols.org
Background A considerable number of minors in the United States are diagnosed with
developmental or psychiatric conditions, potentially influenced by underdiagnosis factors …

[HTML][HTML] Using# ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study

A Jaiswal, P Washington - JMIR Formative Research, 2024 - formative.jmir.org
Background The increasing use of social media platforms has given rise to an
unprecedented surge in user-generated content, with millions of individuals publicly sharing …