Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall.
Welcome to Regression Alert, your weekly guide to using regression to predict the future with uncanny accuracy.
A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
Large language models are machine learning models designed for a range of language-related tasks such as text generation and ...
Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...
Algorithmic trading evolved for decades, but Web3 turns it into something entirely new. See how in this op-ed.
Patient-reported outcome measures (PROMs) reflect patients’ abilities, difficulties and perceptions, but their use in ...
AI is transforming peer review — and many scientists are worried Last month, openRxiv announced that it was integrating a ...
Self-organizing maps, and the machine learning protocol involved in creating them, have been in use since the 1980s, Lawrence ...
A new study reports that a routine, low-cost nutritional assessment tool may offer a powerful way to predict survival in patients with progressive pulmonary fibrosis (PPF), a life-shortening condition ...
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