BIOENGINEER

Random Forest Predicts Twenty-Eight-Day Mortality in Intensive Care Radiotherapy Patients

A six-variable random forest machine-learning model demonstrated useful discrimination for predicting 28-day mortality among ...
Newswise

Drone Time Series and Random Forest Sort Soybean Pubescence Color

Soybean breeders need fast, reliable ways to score pubescence color, a qualitative trait used to identify lines and verify ...
GitHub

Used Car Price Prediction Using Machine Learning Regression

Used car price prediction using Machine Learning regression algorithms and Random Forest. - KunalGupta9321/Used-Car-Price-Prediction ...
europesays

Machine Learning for Hip Replacement Outcomes Shows Performance Drop in

Machine learning models trained on English healthcare data to predict postoperative hip replacement outcomes showed a ...
Rare Disease Advisor

AI Shows Limited Readiness for ATTR-CM Case-Finding

Current evidence does not support the use of random forest classifiers as standalone screening tools for ATTR-CM.
Scientific Research Publishing

Multi-Temporal Sentinel-1 Synthetic Aperture Radar and Machine Learning for Flood Susceptibility Assessment of Urban Roads in Nairobi City County, Kenya ()

Urban flooding increasingly disrupts transport systems in rapidly urbanizing cities, yet road-oriented flood-susceptibility assessments that integrate recurrent flood observations with geographically ...
Nature

AI has transformed maths — this is how we got here

The story of how maths came to run the world, and created the artificial-intelligence models that might surpass human ...
GitHub

Customer Churn Prediction Using Machine Learning

Customer Churn Prediction using Python, Exploratory Data Analysis, Random Forest and XGBoost. - Tejoshkumar/Customer-Churn-Prediction_ML ...