Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its ...
The blood-based test by Astrin Biosciences shows high sensitivity and specificity across cancer stages and subtypes, ...
This article is a continuation of the 1st Stryker Brigade Combat Team (SBCT), 4th Infantry Division’s “Moneyball for Gunnery” ...
This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
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Logistic regression power explained using one derivative
Understanding the derivative of the cost function is key to mastering logistic regression. Learn how gradient descent updates weights efficiently in machine learning. #MachineLearning #LogisticRegress ...
Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...
Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
During this symposium, leading international epileptologists discussed the key challenges and opportunities that currently ...
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