Pediatric patient hospital length of stay prediction: A comparative analysis of Bayesian inference and machine learning approaches

M2Echem: A multilevel dual encoder-based model for predicting organic chemistry reactions

EpilepsyLLM: Fine-tuning large language models for Japanese epilepsy knowledge representation

A bagging ensemble machine learning method for imbalanced data to predict anxiety disorders and analyze risk factors in older people: An observational study

Large language models-in-the-loop: Leveraging expert small artificial intelligence models for multilingual anonymization and de-identification of protected health information