British Journal of Ophthalmology

Identifying patients with poor visual outcomes after primary rhegmatogenous retinal detachment surgery using machine learning

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Machine Learning Is Enabling A New Era For Precision Medicine And Pharmacogenomics

Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...

Wastewater management reverses widespread freshwater deoxygenation in China

Freshwater ecosystems worldwide have been suffering from declining oxygen levels—a trend known as deoxygenation—that ...
STAT

Your sepsis algorithm shouldn’t require a time machine

You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every ...
IEEE

Exploration of Stacking Ensemble Learner (SEL) Modeling with XGBoost and SVM algorithms on Predicting Stock Price

Abstract: The fluctuating characteristics of stock prices indicate high stock market volatility. Therefore, a method is needed that can overcome these problems by providing more accurate predictions ...
IEEE

Machine Learning based Hybrid Technique for Cyber Attack Prediction in VANET

Abstract: This paper introduces a hybrid machine learning-based framework that combines the Random Forest and the XGBoost machine learning algorithms for effective prediction of cyber-attacks in ...
The Lancet

AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation study

aDepartment of Cardiology and Angiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany bUniversity Department of Anesthesiology and Intensive Care Medicine, ...