Healio

Machine learning algorithm models predict 30-day pediatric asthma ED readmission

In statistical models and machine learning algorithms, a model using 12 variables was comparable to a model using 18 ...
BIOENGINEER

Machine Learning Model Predicts Nasopharyngeal Carcinoma Using Routine Laboratory Tests

A machine-learning model utilizing routine laboratory indicators demonstrated strong predictive performance for ...
BIOENGINEER

Monotonic Deep Learning Model Accurately Predicts Unsteady Forces on Morphing Aircraft

Researchers developed the Deep Lattice Cross Network to predict unsteady aerodynamic forces on morphing aircraft while ...
FinanceFeeds

Building a Price Prediction Model in Python: A Step-by-Step Guide Using Historical Data and Basic ML Libraries

Build a crypto price model in Python: pull data with yfinance, engineer features, split by date, then test Linear Regression ...
GitHub

A machine learning model to predict the outcomes of football matches based on historical data.

A machine learning model to predict the outcomes of football matches based on historical data - lorenzopalaia/Football-Prediction ...

CheMeleon model adapts to predict molecular properties from scant data

Discovering new molecules for specific uses is a major driver of progress in a wide variety of industries, whether it's ...
Chromatography Online

AI/ML Now: Rethinking Retention Time Prediction using Machine Learning

Sebastian Böcker discusses how predicting retention order, not time, makes liquid chromatography retention time prediction transferable across laboratories.
Phys.org

Machine learning offers growers a new tool for predicting crop water use

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...
ascopubs.org

Machine Learning Model for Predicting Severe Adverse Events in Oncology Patients Using the US Food and Drug Administration Adverse Event Reporting System

Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma Predicting severe adverse events (SAEs) in oncology is ...