EurekAlert!

Linking leaf traits to light: A new framework for predicting canopy optical behavior

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
Frontiers

Random forest-driven mortality prediction in critical IBD care: a dual-database model integrating comorbidity patterns and real-time physiometrics

Background: Inflammatory bowel disease (IBD) poses significant mortality risks for critically ill patients requiring intensive care unit (ICU) admission, driven by complications such as malnutrition, ...
IEEE

Comparison method of quality estimates for multiple services

Abstract: Many quality-estimation models have been researched and developed for the purpose of quality design, quality monitoring and quality control of communication services. To achieve fair ...
Scientific Research Publishing

He, S., Wu, J., Wang, D., & He, X. (2022). Predictive Modeling of Groundwater Nitrate Pollution and Evaluating Its Main Impact Factors Using Random Forest. Chemosphere, 290 ...

ABSTRACT: An integrated model approaching to combining the BETR-GLOBAL model with a Random Forest method was developed in this research. Firstly, the BETR-GLOBAL model was employed to simulate the ...
Frontiers

Risk prediction and clinical utility analysis of postoperative pancreatic fistula: a comparative study of multivariable logistic regression and random forest models

Department of Hepatobiliary Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China Objective: Compare the performance of the Multivariable logistic ...
The New York Times

Global Forest Loss Hit a Record Last Year as Fires Raged

Forests around the world disappeared at a rate of 18 soccer fields every minute, a global survey found. Fires accounted for nearly half of the losses. By Hiroko Tabuchi and Harry Stevens The planet ...
Scientific Research Publishing

Kirasich, K., Smith, T. and Sadler, B. (2018) Random Forest vs Logistic Regression: Binary Classification for Heterogeneous Datasets. SMU Data Science Review, 1, Article 9.

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...