The researchers argue that their findings, published in Scientific Reports, could help clinicians anticipate which patients ...

Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

Researchers explore the use of smartphones coupled with clinical scores to evaluate motor function and predict dopamine ...

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across ...

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the ...

Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...

Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.

Worldwide Flight Services (WFS), a SATS company, has developed a new digital tool using machine learning algorithms trained ...

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 ...

Occam’s razor is the principle that, all else being equal, simpler explanations should be preferred over more complex ones. This principle is thought to guide human decision-making, but the nature of ...

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