BIOENGINEER

Machine learning model forecasts respiratory disease activity despite hospital reporting delays

A sentinel hospital study in Guangzhou tested a reporting-lag-aware machine learning framework for seven-day-ahead forecasting of influenza, COVID-19 and Mycoplasma pneumoniae activity, finding modest ...

Introduction to Predictive Model Performance (Week of 10/5)

We have updated the content regarding Slack.Introduction　We received more interest than expected in the 9/28 week predictive ...
InfoWorld

Time series forecasting with XGBoost and InfluxDB

XGBoost is a popular open source machine learning library that can be used to solve all kinds of prediction problems. Here’s how to use XGBoost with InfluxDB. XGBoost is an open source machine ...
technologynetworks

Random Forests, XGBoost, and Gradient Boosting in Biological Data Analysis

Random forest and gradient boosting algorithms, including XGBoost, have become dependable tools for analyzing biological data because they tolerate messy, mixed-type inputs without extensive ...