Screening autism spectrum disorder in children using machine learning on speech transcripts
Predictive performanceTo evaluate our models, we applied 5-fold stratified cross-validation on two datasets from ASD TalkBank. The Nadig dataset had...
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Combining RWD And Machine Learning To Determine Meaningful Patient Populations
By Monica Nandagopal, senior analyst, Beroe Inc. Clinical trials play a crucial role in driving medical innovation but frequently encounter...
Machine Learning Enables 96% Accurate Single-Pixel Detection Of Structured Light With Speckle-Learned Recognition
Structured light, with its unique spatial properties, holds immense promise for advancements in communications, precision measurement, and sensing technologies. Purnesh...
A machine learning approach to identify patients at risk for long-term consequences after pulmonary embolism
Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, AustriaStephan...
Engineering Supply Chain Resilience: Jaymalya Deb on Machine Learning and Forecasting Innovation
Jaymalya (“Jay”) Deb is currently the Division Materials Manager in the Industrial Process Filtration Division at Parker Hannifin, a Fortune...
Fast Machine Learning Models -Nearest Neighbour Regression Rivals Kernel Ridge Regression For Atmospheric Molecular Clusters
Understanding the initial stages of aerosol particle formation remains a significant challenge in climate modelling, and researchers continually seek more...
