Simple statistical method predicts landslide risk more accurately than classic method

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...

AI model forecasts severe thunderstorms 4 hours ahead with higher accuracy

In a critical advance for climate resilience, researchers from The Hong Kong University of Science and Technology (HKUST) have developed an AI model that can predict dangerous convective ...
Under30CEO on MSN

Analytics that move the needle: Sohan Sethi shapes cost, efficiency, and scale

The healthcare industry is at a crossroads. Advanced analytical technology and operational efficacy converge with strategic ...
Live Science

China solves 'century-old problem' with new analog chip that is 1,000 times faster than high-end Nvidia GPUs

Researchers from Peking University say their resistive random-access memory chip may be capable of speeds 1,000 faster than the Nvidia H100 and AMD Vega 20 GPUs. When you purchase through links on our ...
Frontiers

Machine learning enhanced acute heart failure phenotype prediction using natural language processing and random forest

Background: Heart failure (HF), with its distinct phenotypes, poses significant public health challenges. Early diagnosis of specific HF phenotypes is crucial for timely therapeutic intervention.
GitHub

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression ...

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ahajournals.org

Applying a Random Forest Approach in Predicting Health Status in Patients with Carotid Artery Stenosis 30 Days Post Stenting

Approximately 20% of ischemic strokes in the United States result from carotid artery stenosis. Carotid artery stenting (CAS) can reduce stroke risk, but variability in poststenting health outcomes ...
Frontiers

A deep-learning approach to predict reproductive toxicity of chemicals using communicative message passing neural network

Reproductive toxicity is a concern critical to human health and chemical safety assessment. Recently, the U.S. Food and Drug Administration announced plans to assess toxicity with artificial ...
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 ...