Haonan Chen, a CSU associate professor of electrical and computer engineering, and his team have published research that ...
Subseasonal forecasting, or the ability to predict weather trends two weeks to two months in advance, is a capability highly ...
We retrospectively analyzed clinical data from 269 patients with IS, all admitted to the Xinhua Hospital of Dalian University. The patients were randomly divided into a training set (70%) and an ...
Manchester United’s final home outing of 2025–26 pits them against Nottingham Forest, who secured Premier League safety last weekend. With the Red Devils locked in third, there isn’t much riding on ...
Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...
ABSTRACT: This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates ...
ABSTRACT: This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates ...
Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...
MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
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