Harvard Business Review

Decision Trees for Decision-Making

Here is a [recently developed] tool for analyzing the choices, risks, objectives, monetary gains, and information needs ...
Devdiscourse

Agriculture turns to AI: Global trends in land use and crop monitoring

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...
IEEE

Privacy-Preserving Decision Tree Classification Using Homomorphic Encryption in IoT Big Data Scenarios

Abstract: To effectively address the issue of privacy-preserving decision tree classification services in IoT big data scenarios, this study combines decision tree classification models with ...
IEEE

EEG-Based Identification of Huntington‘s Disease using Daubechies Wavelet features with Decision Tree Classifier

Abstract: A Genetic brain condition known as Huntington’s disease (HD) gradually destroys a person’s capacity for normal movement, thought, and behavior. Early detection of HD is crucial for a better ...
Frontiers

Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and ...

1 Department of Critical Care Medicine, Harrison International Peace Hospital, Hengshui, China 2 Graduate College, Hebei Medical University, Shijiazhuang, China Objective: Investigate the correlation ...
Frontiers

Real-world data-driven early warning system for risk-stratified liver injury in hospitalized COVID-19 patients—Machine learning models for clinical decision support

Objective: To develop and validate a real-world evidence-driven early warning system for the risk-stratified prediction of coronavirus disease 2019 (COVID-19)-associated hepatic dysfunction in ...