Gradient Boosting Machines (gbm) - Toxicology

Relevant Publications

Predicting dental caries outcomes in young adults using machine learning approach.

Issue Release: 2024

Predicting preterm birth using auto-ML frameworks: a large observational study using electronic inpatient discharge data.

Issue Release: 2024

From Pixels to Prognosis: Unveiling Radiomics Models with SHAP and LIME for Enhanced Interpretability.

Issue Release: 2024

A multi-center study on the adaptability of a shared foundation model for electronic health records.

Issue Release: 2024

Interpreting optimised data-driven solution with explainable artificial intelligence (XAI) for water quality assessment for better decision-making in pollution management.

Issue Release: 2024

Comparative Analysis of Machine Learning Techniques for Water Consumption Prediction: A Case Study from Kocaeli Province.

Issue Release: 2024

Analysis of Variance Combined with Optimized Gradient Boosting Machines for Enhanced Load Recognition in Home Energy Management Systems.

Issue Release: 2024

A machine learning model to predict therapeutic inertia in type 2 diabetes using electronic health record data.

Issue Release: 2023

Machine and deep learning for modelling heat-health relationships.

Issue Release: 2023

Comparison of the effectiveness of different machine learning algorithms in predicting new fractures after PKP for osteoporotic vertebral compression fractures.

Issue Release: 2023

Preliminary assessment of three quantitative approaches for estimating time-since-deposition from autofluorescence and morphological profiles of cell populations from forensic biological samples.

Issue Release: 2023

Identifying the predictors of severe psychological distress by auto-machine learning methods.

Issue Release: 2023

To predict the risk of chronic kidney disease (CKD) using Generalized Additive2 Models (GA2M).

Issue Release: 2023

Establishment and validation of a prognostic model for gastric cancer patients of Hebei Province in China.

Issue Release: 2023

Down regulation of Cathepsin W is associated with poor prognosis in pancreatic cancer.

Issue Release: 2023

Machine learning predictors of risk of death within 7 days in patients with non-traumatic subarachnoid hemorrhage in the intensive care unit: A multicenter retrospective study.

Issue Release: 2023

Predicting Dental Caries Outcomes in Young Adults Using Machine Learning Approach.

Issue Release: 2023

A machine learning approach to determine resilience utilizing wearable device data: analysis of an observational cohort.

Issue Release: 2023

Predicting the Climate Impact of Healthcare Facilities Using Gradient Boosting Machines.

Issue Release: 2023

Evaluation of a machine learning approach utilizing wearable data for prediction of SARS-CoV-2 infection in healthcare workers.

Issue Release: 2022

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