TRANSFORMER-BASED DEEP LEARNING ENSEMBLE FRAMEWORK PREDICTS AUTISM SPECTRUM DISORDER USING HEALTH ADMINISTRATIVE AND BIRTH REGISTRY DATA

Transformer-based deep learning ensemble framework predicts autism spectrum disorder using health administrative and birth registry data

Abstract Early diagnosis and access to resources, support and therapy are critical for improving long-term outcomes for children with autism spectrum disorder (ASD).ASD is typically detected using a case-finding approach based on symptoms and family history, resulting in many delayed or missed diagnoses.While population-based screening Western Chap

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A Case Study on Hemorrhage Due to Cerebrovascular Disease

Cerebrovascular Girls Hat disease includes some of the most common and devastating disorders: ischemic and hemorrhagic stroke.Stroke is the second leading cause of death worldwide, with 6.2 million dying from stroke in 2015, an increase of 830,000 since 2000.Stroke remains the most common disabling disease worldwide and in many forms is preventable

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Assortative mating and within-spouse pair comparisons.

Spousal comparisons have been proposed as a design that can both reduce confounding and estimate effects of the shared adulthood environment.However, assortative mating, the process by which individuals select phenotypically (dis)similar mates, could distort associations when comparing spouses.We evaluated the use of spousal comparisons, as in the

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