- Machine learning|based health environmental|clinical risk scores in ...🔍
- How machine learning helped us uncover key environmental and ...🔍
- New study reveals key environmental risk factors affecting child ...🔍
- Machine learning reveals heterogeneous associations between ...🔍
- Validation of an Electronic Health Record|Based Machine Learning ...🔍
- Validation of an Electronic Health Record–Based Machine Learning ...🔍
- A novel interpretable machine learning system to generate clinical ...🔍
- Construction of environmental risk score beyond standard linear ...🔍
Machine learning|based health environmental|clinical risk scores in ...
Machine learning-based health environmental-clinical risk scores in ...
We used machine learning methods to build early life exposome risk scores for three health outcomes using environmental, molecular, and clinical data.
Machine learning-based health environmental-clinical risk scores in ...
Besides their usefulness for epidemiological research, our risk scores show great potential to capture holistic individual level ...
(PDF) Machine learning-based health environmental-clinical risk ...
We used machine learning methods to build early life exposome risk scores for three health outcomes using environmental, molecular, and clinical data.
Machine learning-based health environmental-clinical risk scores in ...
We used machine learning methods to build early life exposome risk scores for three health outcomes using environmental, molecular, and clinical data. In this ...
How machine learning helped us uncover key environmental and ...
We used machine learning methods to build early life exposome risk scores for three health outcomes using environmental, molecular, and clinical data.
New study reveals key environmental risk factors affecting child ...
Using machine learning, they were able to identify effects, but also quantify the likelihood of children developing health issues based on their ...
Machine learning reveals heterogeneous associations between ...
Machine learning reveals heterogeneous associations between environmental factors and cardiometabolic diseases across polygenic risk scores.
Validation of an Electronic Health Record-Based Machine Learning ...
An EHR-based machine learning model performs better than currently recommended clinical risk scores and identifies more very-low-risk ...
Machine learning-based health environmental-clinical risk scores in ...
... health outcomes using environmental, molecular, and clinical data ... Machine learning-based health environmental-clinical risk scores in European children.
Validation of an Electronic Health Record–Based Machine Learning ...
An EHR-based machine learning model performs better than currently recommended clinical risk scores and identifies more very-low-risk patients eligible for ...
A novel interpretable machine learning system to generate clinical ...
Risk scores are widely used for clinical decision making and commonly generated from logistic regression models. Machine-learning-based ...
Validation of an Electronic Health Record-Based Machine Learning ...
An EHR-based machine learning model performs better than currently recommended clinical risk scores and identifies more very-low-risk patients eligible for ...
Construction of environmental risk score beyond standard linear ...
There is growing concern of health effects of exposure to pollutant mixtures. We initially proposed an Environmental Risk Score (ERS) as a ...
Machine learning-based health environmental-clinical risk scores in ...
Machine learning-based health environmental-clinical risk scores in European children ... Abstract Background Early life environmental stressors play an important ...
AutoScore: A Machine Learning–Based Automatic Clinical Score ...
Background: Risk scores can be useful in clinical risk stratification and accurate allocations of medical resources, helping health ...
Machine learning-based clinical decision support for infection risk ...
Conclusion: The predictive model aggregates information from multiple physiological parameters such as vital signs and laboratory measurements to provide a ...
Clinical evaluation of a machine learning–based early warning ...
Interpretation: Implementing a machine learning–based early warning system in the GIM unit was associated with lower risk of non-palliative ...
A Novel Machine Learning Algorithm for Creating Risk-Adjusted ...
Diagnosis-based risk adjustment formulas are widely used for health plan capitation, performance assessment, research-oriented severity ...
Health equity assessment of machine learning performance (HEAL)
Across all dermatologic conditions, the HEAL metric was 80.5% for prioritizing AI performance of racial/ethnic subpopulations based on YLLs, and ...
An empirical characterization of fair machine learning for clinical risk ...
We repeat the analysis across multiple observational healthcare databases, clinical outcomes, and sensitive attributes. We find that procedures that penalize ...