ahajournals.org

Part 8: Pediatric Advanced Life Support: 2025 American Heart Association and American Academy of Pediatrics Guidelines for Cardiopulmonary Resuscitation and Emergency ...

The American Heart Association and the American Academy of Pediatrics provide these pediatric advanced life support guidelines focusing on resuscitation during cardiopulmonary resuscitation and ...
Microsoft

Knowledge‐Guided Machine Learning for Operational Flood Forecasting

We present a knowledge‐guided machine learning framework for operational hydrologic forecasting at the catchment scale. Our approach, a Factorized Hierarchical Neural Network (FHNN), has two main ...
Frontiers

A comprehensive review of venous thromboembolism risk assessment models for hospitalized medical patients: comparative evidence, implementation challenges, and future directions

Venous thromboembolism (VTE) is a leading cause of preventable hospital-acquired morbidity and mortality. Despite the availability of effective prophylaxis, its application in clinical practice ...
IEEE

Design of a Generic Fault Diagnosis Model for Electrical Distribution Networks Using a Support Vector Machine (SVM) Algorithm

Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...
ahajournals.org

Part 7: Adult Basic Life Support: 2025 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care

The American Heart Association’s 2025 Adult Basic Life Support Guidelines build upon prior versions with updated recommendations for assessment and management of persons with cardiac arrest, as well ...
IEEE

Support Vector Machine Detection Strategies for Different Types of Faults

Abstract: In this study, the application of support vector machine (SVM) in modern industrial fault diagnosis is mainly analyzed. As an advanced machine learning algorithm, SVM can effectively ...
GitHub

Bike Demand Prediction for Smart Cities

Production-ready machine learning system that predicts bike rental demand using real-world public APIs and historical data. Built with Docker-first architecture for seamless deployment, the system ...