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 would be ide

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DIRECTIONS OF EXPERIMENTAL RESEARCH ON THE USE OF UNMANNED AIRCRAFT SYSTEMS FOR FIRE EXTINGUISHING IN HIGH-RISE BUILDINGS USING COMPRESSION FOAM

The article is devoted to the problems of using unmanned aircraft systems to extinguish fires in high-rise buildings with continuous supply of compression foam to the fire source.On the one hand, the use of compression foam with a continuous flow from ground source pet calming peanut butter by unmanned aircraft is considered as one of the most prom

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Diversity, Ethnobotany, and Horticultural Potential of Local Vegetables in Chai Chumphol Temple Community Market, Maha Sarakham Province, Thailand

Local markets are vital for economic activity and preserving cultural heritage, especially through vegetables central to community diets and traditions.Despite their importance, swisse high strength magnesium powder berry the ethnobotanical potential of these vegetables remains underexplored, particularly regarding sustainability and food security.

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