Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...
A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...
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Lancelot federated learning system combines encryption and robust aggregation to resist poisoning attacks
Federated learning is a machine learning technique that allows several individuals, dubbed "clients," to collaboratively ...
A review of machine learning (ML) models developed to support the management of chronic lymphocytic leukemia (CLL) have demonstrated positive outcomes, including accurate diagnosis and improved work ...
A retrospective study of 3,348 cerebral infarction patients shows machine learning can predict ICU readmission. Logistic ...
Imagine being able to program materials to control heat like you can control a light with a dimmer switch. By simply ...
A research team has reviewed how machine learning (ML) is revolutionizing fermentation design and process optimization by ...
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