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 Mexico... by Alexander A. Huang, Samuel Y. Huang

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Computation of the distribution of model accuracy statistics in machine learning: Comparison between analytically derived distributions and simulation‐based methods by Alexander A. Huang, Samuel Y. Huang

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Shapely additive values can effectively visualize pertinent covariates in machine learning when predicting hypertension by Alexander A. Huang, Samuel Y. Huang

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Use of feature importance statistics to accurately predict asthma attacks using machine learning: A cross-sectional cohort study of the US population. by Alexander A Huang, Samuel Y Huang

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Application of a transparent artificial intelligence algorithm for US adults in the obese category of weight. by Alexander A Huang, Samuel Y Huang

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Use of machine learning to identify risk factors for insomnia by Alexander A. Huang, Samuel Y. Huang

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Increased vigorous exercise and decreased sedentary activities are associated with decreased depressive symptoms in United States adults: Analysis of The National Health and Nutrit... by Alexander A. Huang, Samuel Y. Huang

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Use of machine learning to identify risk factors for insomnia. by Alexander A Huang, Samuel Y Huang

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Increasing transparency in machine learning through bootstrap simulation and shapely additive explanations by Alexander A. Huang, Samuel Y. Huang

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Use of feature importance statistics to accurately predict asthma attacks using machine learning: A cross-sectional cohort study of the US population by Alexander A. Huang, Samuel Y. Huang

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Diabetes is associated with increased risk of death in COVID‐19 hospitalizations in Mexico 2020: A retrospective cohort study by Alexander A. Huang, Samuel Y. Huang

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Use of machine learning to identify risk factors for coronary artery disease. by Alexander A Huang, Samuel Y Huang

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Covariate dependent Markov chains constructed with gradient boost modeling can effectively generate long-term predictions of obesity trends by Alexander A. Huang, Samuel Y. Huang

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Stochastic modeling of obesity status in United States adults using Markov Chains: A nationally representative analysis of population health data from 2017–2020 by Alexander A. Huang, Samuel Y. Huang

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Innovative Machine Learning Approach for Distinguishing Rheumatoid Arthritis and Osteoarthritis: Integrating Shapely Additive Explanations and Dendrograms by Alexander A. Huang, Samuel Y. Huang

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Increasing transparency in machine learning through bootstrap simulation and shapely additive explanations. by Alexander A Huang, Samuel Y Huang

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Exploring Depression and Nutritional Covariates Amongst US Adults using Shapely Additive Explanations by Alexander A. Huang, Samuel Y. Huang

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Dendrogram of transparent feature importance machine learning statistics to classify associations for heart failure: A reanalysis of a retrospective cohort study of the Medical Inf... by Alexander A Huang, Samuel Y Huang

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Disease trajectory and competing risks of patients with cirrhosis in the US. by Mohsen Mohammadi, Bima J Hasjim, Salva N Balbale, Praneet Polineni, Alexander A Huang, Mitchell Paukner, Therese Banea, Oriana Dentici, Dominic J Vitello, Joy E Obayemi, Andrés Duarte-Rojo, Satish N Nadig, Lisa B VanWagner, Lihui Zhao, Sanjay Mehrotra, Daniela P Ladner

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