Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

Sepsis ranks among the deadliest illnesses a child can face. It’s an infection that spirals out of control, causing organ ...

Add Zee News as a Preferred Source Having overlaid random forests and gradient boosting on a logistic regression meta-model, the group of Ravi could achieve the maximum accuracy rate and obtained 93% ...

SportsLine's Inside the Lines team and computer model locked in their top NBA props for Monday, including Lauri Markkanen ...

Objectives There is a lack of knowledge about whether occupational exposures increase the risk of emphysema, especially in ...

Researchers affiliated with Houston’s Methodist Hospital, Department of Otolaryngology, examined the link between recreational cannabis use and sinon | Cannabis Sciences ...

Njoku, C. and Bonang, M. (2025) The Impact of Digital Transformation on Six Commercial Banks Performance in Botswana. Open Journal of Business and Management, 13, 3875-3893. doi: ...

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

AI models outperform traditional rule-based systems in identifying high-risk patients by integrating diverse data sources and ...

The EnABLE Social Inclusion Framework for Results-Based Climate Finance Initiatives was devised as a key input into the Social Inclusion Strategy and Action Plan of the Enhancing Access to Benefits ...