| Increasing transparency in machine learning through bootstrap simulation and shapely additive explanations AA Huang, SY Huang PLoS One 18 (2), e0281922, 2023 | 20 | 2023 |
| Use of machine learning to identify risk factors for insomnia AA Huang, SY Huang PloS one 18 (4), e0282622, 2023 | 12 | 2023 |
| Quantification of the effect of vitamin E intake on depressive symptoms in United States adults using restricted cubic splines AA Huang, SY Huang Current developments in nutrition 7 (2), 100038, 2023 | 9 | 2023 |
| Computation of the distribution of model accuracy statistics in machine learning: comparison between analytically derived distributions and simulation‐based methods AA Huang, SY Huang Health science reports 6 (4), e1214, 2023 | 8 | 2023 |
| Hospitalized COVID‐19 patients with diabetes have an increased risk for pneumonia, intensive care unit requirement, intubation, and death: a cross‐sectional cohort study in … AA Huang, SY Huang Health Science Reports 6 (4), e1222, 2023 | 6 | 2023 |
| Dendrogram of transparent feature importance machine learning statistics to classify associations for heart failure: A reanalysis of a retrospective cohort study of the Medical … AA Huang, SY Huang PLoS One 18 (7), e0288819, 2023 | 5 | 2023 |
| Increased vigorous exercise and decreased sedentary activities are associated with decreased depressive symptoms in United States adults: Analysis of The National Health and … AA Huang, SY Huang Health Science Reports 6 (8), e1473, 2023 | 4 | 2023 |
| Use of machine learning to identify risk factors for coronary artery disease AA Huang, SY Huang PloS one 18 (4), e0284103, 2023 | 3 | 2023 |
| Shapely additive values can effectively visualize pertinent covariates in machine learning when predicting hypertension AA Huang, SY Huang The Journal of Clinical Hypertension 25 (12), 1135-1144, 2023 | 2 | 2023 |
| Quantification of the Relationship of Pyridoxine and Spirometry Measurements in the United States Population AA Huang, SY Huang Current Developments in Nutrition 7 (8), 100078, 2023 | 2 | 2023 |
| Diabetes is associated with increased risk of death in COVID‐19 hospitalizations in Mexico 2020: A retrospective cohort study AA Huang, SY Huang Health Science Reports 6 (7), e1416, 2023 | 2 | 2023 |
| Increasing Potassium Intake Up to 2300mg is Associated with Decreased Depressive Symptoms in United States Adults: Analysis of the National Health and Nutrition Examination … A Huang, SY Huang | 2 | 2022 |
| Stochastic modeling of obesity status in United States adults using Markov Chains: A nationally representative analysis of population health data from 2017–2020 AA Huang, SY Huang Obesity Science & Practice 9 (6), 653-660, 2023 | 1 | 2023 |
| Covariate dependent Markov chains constructed with gradient boost modeling can effectively generate long-term predictions of obesity trends AA Huang, SY Huang BMC Research Notes 16 (1), 346, 2023 | 1 | 2023 |
| Use of feature importance statistics to accurately predict asthma attacks using machine learning: A cross-sectional cohort study of the US population AA Huang, SY Huang Plos one 18 (11), e0288903, 2023 | 1 | 2023 |
| Exploring Depression and Nutritional Covariates Amongst US Adults using Shapely Additive Explanations AA Huang, SY Huang Health Science Reports 6 (10), e1635, 2023 | 1 | 2023 |
| Technical Report: Machine-Learning Pipeline for Medical Research and Quality-Improvement Initiatives AA Huang, SY Huang Cureus 15 (10), 2023 | 1 | 2023 |
| Application of a transparent artificial intelligence algorithm for US adults in the obese category of weight AA Huang, SY Huang Plos one 19 (5), e0304509, 2024 | | 2024 |
| Mo1630 ASSESSMENT OF APRI AND FIB-4 PERFORMANCE TO ASSESS FOR ADVANCED LIVER FIBROSIS IN A NATIONALLY REPRESENTATIVE COHORT SY Huang, C Lanka, M Lakhana, M Khan, AA Huang, FG Gress Gastroenterology 166 (5), S-1714, 2024 | | 2024 |
| Unraveling Coronary Artery Disease Risk Factors: Insights from Machine Learning and Statistical Analysis AA Huang, SY Huang International Journal of Cardiovascular Medicine 3 (2), 2024 | | 2024 |
