Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the highest and most stable sensitivity, accuracy and discriminatory power, ...

Software engineers are increasingly seeking structured pathways to transition into machine learning roles as companies expand their use of artificial intelligence across product development, ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.