Monitoring and treating heart failure (HF) is a challenging condition at any age. Several models, such as Atrial fibrillation, Hemoglobin, Elderly, Abnormal renal parameters, Diabetes mellitus (AHEAD) ...
A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve ...
Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
Data from campaign analysis and marketing-mix models has become easier for marketers to understand. AI-based no-code tools make it possible, but the ease of use has its limitations.
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
This study proposes a cross-species transcriptomic framework to predict vaccine reactogenicity, with implications for preclinical vaccine safety assessment. The findings show that mouse muscle ...
BACKGROUND: The entrance of naive T cells into lymph nodes (LNs) is a crucial step for induction of heart transplant acceptance under costimulatory blockade. Specialized blood vessels within the LN ...
Color gradient filament is fun stuff to play with. It lets you make 3D prints that slowly fade from one color to another along the Z-axis. [David Gozzard] wanted to do some printing with this effect, ...