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Current Developments in Nutrition|May 14, 2023
Quantification of the Effect of Vitamin E Intake on Depressive Symptoms in United States Adults Using Restricted Cubic SplinesAlexander A Huang, Samuel Y HuangJournal of Clinical Hypertension (Greenwich, Conn.)|November 16, 2023
Shapely additive values can effectively visualize pertinent covariates in machine learning when predicting hypertensionAlexander A Huang, Samuel Y HuangHealth Science Reports|October 23, 2023
Exploring Depression and Nutritional Covariates Amongst US Adults using Shapely Additive ExplanationsAlexander A Huang, Samuel Y HuangHealth Science Reports|August 9, 2023
Increased vigorous exercise and decreased sedentary activities are associated with decreased depressive symptoms in United States adults: Analysis of The National Health and Nutrition Examination Survey (NHANES) 2017-2020Alexander A Huang, Samuel Y HuangBMC Research Notes|November 24, 2023
Covariate dependent Markov chains constructed with gradient boost modeling can effectively generate long-term predictions of obesity trendsAlexander A Huang, Samuel Y HuangPlos One|November 22, 2023
Use of feature importance statistics to accurately predict asthma attacks using machine learning: A cross-sectional cohort study of the US populationAlexander A Huang, Samuel Y HuangPlos One|May 31, 2024
Application of a transparent artificial intelligence algorithm for US adults in the obese category of weightAlexander A Huang, Samuel Y HuangHealth Science Reports|June 8, 2026
Revolutionizing Sleep Medicine: The Impact of Machine Learning on Diagnosis, Treatment, and Personalized CareAlexander A Huang, Samuel Y HuangHealth Science Reports|July 7, 2023
Diabetes is associated with increased risk of death in COVID-19 hospitalizations in Mexico 2020: A retrospective cohort studyAlexander A Huang, Samuel Y HuangPageof 3