Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...
Periodic maintenance is common too, but still inefficient and often based on time, not actual machine condition. That ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity before ever being trained on any data, according to Hopkins research ...
In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...
This technical note presents a methodological change to the International Monetary Fund’s Currency Composition of Foreign Exchange Reserves (COFER) dataset. Using a combination of stratified mean ...
Opinion
Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI Research Methods ()
AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...
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