Ehsan Yaghmaei
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View article: A Review of Racial Differences and Disparities in ECG
A Review of Racial Differences and Disparities in ECG Open
The electrocardiogram (ECG) is a widely used, non-invasive tool for diagnosing a range of cardiovascular conditions, including arrhythmia and heart disease-related structural changes. Despite its critical role in clinical care, racial and …
View article: Telehealth Perceived Benefits and Self-Efficacy Do Not Mediate the Effects of Demographic, Health, and Social Determinants on Telehealth Use of Low-Income African American and Latino Residents of Public Housing in Los Angeles
Telehealth Perceived Benefits and Self-Efficacy Do Not Mediate the Effects of Demographic, Health, and Social Determinants on Telehealth Use of Low-Income African American and Latino Residents of Public Housing in Los Angeles Open
Background: Marginalized low-income racial and ethnic minority residents of public housing represent an intersectional population with multiple health needs and low healthcare utilization. Telehealth has been proposed as a solution to addr…
View article: Comprehensive descriptive analysis of large Alzheimer's disease patient cohorts
Comprehensive descriptive analysis of large Alzheimer's disease patient cohorts Open
Background Precise estimates of the prevalence of Alzheimer's disease (AD), the distribution of demographic characteristics, comorbidities, treatment plans, insurance types, cost of treatment and survival probabilities at various time poin…
View article: Combined use of Donepezil and Memantine increases the probability of five-year survival of Alzheimer’s disease patients
Combined use of Donepezil and Memantine increases the probability of five-year survival of Alzheimer’s disease patients Open
Background Alzheimer’s disease (AD) is the most common neurodegenerative disease. Studying the effects of drug treatments on multiple health outcomes related to AD could be beneficial in demonstrating which drugs reduce the disease burden …
View article: A causal inference study: The impact of the combined administration of Donepezil and Memantine on decreasing hospital and emergency department visits of Alzheimer’s disease patients
A causal inference study: The impact of the combined administration of Donepezil and Memantine on decreasing hospital and emergency department visits of Alzheimer’s disease patients Open
Alzheimer’s disease is the most common type of dementia that currently affects over 6.5 million people in the U.S. Currently there is no cure and the existing drug therapies attempt to delay the mental decline and improve cognitive abiliti…
View article: A causal inference study: The impact of the combined administration of Donepezil and Memantine on decreasing hospital and emergency department visits of Alzheimer’s disease patients
A causal inference study: The impact of the combined administration of Donepezil and Memantine on decreasing hospital and emergency department visits of Alzheimer’s disease patients Open
Alzheimer’s disease is the most common type of dementia that currently affects over 6.5 million people in the U.S. Currently there is no cure and the existing drug therapies attempt to delay the mental decline and improve cognitive abiliti…
View article: Title: Causal Inference Methods for Estimation of Survival and General Health Status Measures of Alzheimer’s Disease Patients
Title: Causal Inference Methods for Estimation of Survival and General Health Status Measures of Alzheimer’s Disease Patients Open
Identifying optimal treatment options with respect to survival of Alzheimer's disease patients is crucially important and previously uninvestigated research question. Our objective was to estimate the causal effects of the most prevalent c…
View article: A super learner ensemble of 14 statistical learning models for predicting COVID-19 severity among patients with cardiovascular conditions
A super learner ensemble of 14 statistical learning models for predicting COVID-19 severity among patients with cardiovascular conditions Open
Highly predictive models can be built to predict COVID-19 severity of patients with cardiovascular and other circulatory conditions. Super learning ensembles will improve individual and classical ensemble models significantly.