Pediatric hospital medicine is rapidly advancing with new research focusing on clinical management, quality improvement, health equity, and technology. This summary highlights the top articles from ...
A new framework, Arbor, they claim, preserves hypotheses, experiments, and lessons learned across long-running research tasks ...
Abstract: Electroencephalography (EEG) has been a staple method for identifying certain health conditions in patients since its discovery. Due to the many different types of classifiers available to ...
Scientific research has never produced more information than it does today. Across nearly every discipline, researchers face ...
Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...
Abstract: Adversarial attacks and defenses in machine learning and deep neural network (DNN) have been gaining significant attention due to the rapidly growing applications of deep learning in ...
PIMA Indian Diabetes Dataset (binary outcome: diabetic / non‑diabetic). A positive trend is visible: higher glucose levels tend to accompany higher insulin levels. Two clusters appear (red and gray), ...
This project applies machine learning models to predict gallstone disease using clinical and body-composition data. The workflow includes preprocessing, Grid Search hyperparameter tuning, model ...
Agentic AI moves beyond chatbots into systems that plan, use tools, and act. Learn key terms, architectures, risks, ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Researchers developed a washable textile-based IDC strain sensor that tracked yoga-inspired movements with 94.4% record-level ...
STK2100 gives an introduction to different methods for supervised learning (regression and classification). The course contains both model and algorithm based approaches. The main focus is supervised ...
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