The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
IEEE

Optimized Blood Pressure Prediction With a Hybrid CNN–SVR Model Using Multiwavelength PPG

Abstract: Noninvasive vital sign monitoring, especially blood pressure (BP), is crucial for evaluating overall health and identifying early indicators of medical issues. Photoplethysmography (PPG) is ...
Frontiers

Radiomics-based multiple machine learning approaches for investigating medial wall invasion of the cavernous sinus in pituitary adenomas

Objective: This study aims to develop a predictive model for cavernous sinus dural invasion in pituitary adenomas by retrospectively analyzing clinical and imaging data. It explores the associations ...
IEEE

Sea Ice Thickness Inversion Based on Support Vector Regression for FengYun-3E IDW Data

Abstract: Due to the increasing demand for monitoring sea ice thickness (SIT) in the global environment, the SIT inversion based on global navigation satellite system-reflectometry (GNSS-R) has ...
New Atlas

Forget 3D printing: Cornell is 3D knitting with its new machine

If you find 3D printers to be just a little too coldly futuristic, this contraption might be more to your liking. Scientists from Cornell University have created a machine that knits solid 3D objects ...