A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Learn With Jay on MSN
Linear regression using gradient descent explained simply
Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
In this retrospective cohort analysis, researchers aimed to identify key predictors of trial enrollment among cancer patients.
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Learn With Jay on MSN
Linear regression cost function explained for beginners
Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...
Tech Xplore on MSN
No-code machine learning development tools
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback