The Purged

Donald Trump’s destruction of the civil service is a tragedy not just for the roughly 300,000 workers who have been discarded ...
GitHub

Bhagya0811/Employee-performance-prediction

Employee-performance-prediction/ ├── 🐳 docker-compose.yml # Multi-service orchestration ├── 📊 airflow/ # Airflow workflows and configurations │ ├── dags/ # DAG definitions │ │ ├── ingestion_pipeline ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
Frontiers

Application and validation of the machine learning-based multimodal radiomics model for preoperative prediction of lateral lymph node metastasis in papillary thyroid carcinoma

Background: Papillary thyroid carcinoma (PTC) frequently develops lateral lymph node metastasis (LLNM) in 12.6%-32.8% of patients, increasing recurrence risk and mortality. Current diagnostic methods ...
Live Science

Scientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are made

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...
IEEE

Employee Attrition Prediction using Machine Learning: A Data-Driven Approach for Workforce Analytics

Abstract: Employee attrition is one of the primary concerns that organizations are interested in if they want to retain their skills as well as sustain stable workforces. This research uses machine ...
IEEE

Employee Retention and Layoff Prediction Using Machine Learning: A Comparative Study of XGBoost and KMeans

Abstract: Employee retention and layoff predictions are now one of the big challenges that organizations in different sectors face, especially in highly turning-over industries or those whose labor ...
Frontiers

Machine learning prediction and interpretability analysis of high-risk chest pain: a study from the MIMIC-IV database

Background: High-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for ...