A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Abstract: The trust study was begun in the 1960s. Previous research has been particularly focused on understanding the psychological underpinnings of trust formation and sustenance, with influences ...
Tesla’s valuation has been spectacular lately, closing at an all-time record of $489.88 earlier this month and still hovering pretty close to that astronomical figure as of this writing. Tesla bulls, ...
In South Bend, Indiana, the Notre Dame football brand is on the shelf for the bowl season, curling up in a fetal position in protest over College Football Playoff exclusion. There’s disappointment, ...
Abstract: This paper presents a comparative study of different machine learning algorithms, including K- Nearest Neighbor (KNN), Random Forest, Gradient Boosting, XG Boost, Support Vector Machine, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback