[HTML][HTML] 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�…
children. Like many neurological disorder phenotypes, the diagnostic features are�…
[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: Systematic literature review
Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic�…
physiological systems, which makes the voice sensitive to changes. Any systematic�…
[HTML][HTML] Training and profiling a pediatric facial expression classifier for children on mobile devices: machine learning study
A Banerjee, OC Mutlu, A Kline, S Surabhi…�- JMIR formative�…, 2023 - formative.jmir.org
Background Implementing automated facial expression recognition on mobile devices could
provide an accessible diagnostic and therapeutic tool for those who struggle to recognize�…
provide an accessible diagnostic and therapeutic tool for those who struggle to recognize�…
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�…
prediction using biosignal data recorded by wearables is a key area of study in mobile�…
Towards robust family-infant audio analysis based on unsupervised pretraining of wav2vec 2.0 on large-scale unlabeled family audio
To perform automatic family audio analysis, past studies have collected recordings using
phone, video, or audio-only recording devices like LENA, investigated supervised learning�…
phone, video, or audio-only recording devices like LENA, investigated supervised learning�…
[HTML][HTML] A Survey on Autism Care, Diagnosis, and Intervention Based on Mobile Apps: Focusing on Usability and Software Design
This article presents a systematic review on autism care, diagnosis, and intervention based
on mobile apps running on smartphones and tablets. Here, the term “intervention” means a�…
on mobile apps running on smartphones and tablets. Here, the term “intervention” means a�…
[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�…
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�…
Background A considerable number of minors in the United States are diagnosed with
developmental or psychiatric conditions, potentially influenced by underdiagnosis factors�…
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�…
unprecedented surge in user-generated content, with millions of individuals publicly sharing�…
[HTML][HTML] Multimodal deep learning for dementia classification using text and audio
K Lin, PY Washington�- Scientific Reports, 2024 - nature.com
Dementia is a progressive neurological disorder that affects the daily lives of older adults,
impacting their verbal communication and cognitive function. Early diagnosis is important to�…
impacting their verbal communication and cognitive function. Early diagnosis is important to�…