Clinical and dental predictors of preterm birth using machine learning methods: the MOHEPI study
In this study, we found that dental factors such as MGI and DMFT index could function as major predictors in...
In this study, we found that dental factors such as MGI and DMFT index could function as major predictors in...
Our results do not reveal a significant correlation between learning style and performance in the OSCEs, contrary to some expectations....
Scientists from Peking University conducted a systematic review of studies on integrating machine learning into statistical methods in disease prediction...
Due to the lack of publicly available datasets for our proposed solution, we prepared a custom dataset by collecting Amharic...
Large language models (LLMs) have become crucial in natural language processing, particularly for solving complex reasoning tasks. These models are...
Introduction The COVID-19 pandemic has dramatically changed the demographics of online students. Previously, almost all students engaged in online learning...