Benjamin Seligman
Dados Biográficos
| ID | 4197342 |
|---|---|
| NOME | Benjamin Seligman |
| PRENOMES | Benjamin |
| SOBRENOME | Seligman |
| ASSINATURA | SELIGMAN B |
| AFILIAÇÕES | University of California, Los Angeles |
| ORCID | 0000-0002-8223-5924 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAÇÕES | 1 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2011 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2023 |
| ÍNDICE H | 1 |
Inflammatory Biomarkers Differ among Hospitalized Veterans Infected with Alpha, Delta, and Omicron Sars-CoV-2 Variants
Mortality due to COVID-19 has been correlated with laboratory markers of inflammation, such as C-reactive protein (CRP). The lower mortality during Omicron variant infections could be explained by variant-specific immune responses or host factors, such as vaccination status. We hypothesized that infections due to Omicron variant cause less inflammation compared to Alpha and Delta, correlating with lower mortality. This was a retrospective cohort …
Frailty Among Older Indians
Frailty is a common syndrome affecting older adults. While frailty has well-established relationships with multiple adverse health outcomes and death, the role of the social and economic environment in the development of frailty is less clear. We consider this relationship in India, which has a growing population of older adults whose environments have undergone extensive social and economic changes over the last few decades. We compare the distr…
Machine learning approaches to the social determinants of health in the health and retirement study
Some of the machine learning methods do not improve prediction or fit beyond simpler models, however, neural networks performed well. The predictors identified across models suggest underlying social factors that are important predictors of biological indicators of chronic disease, and that the non-linear and interactive relationships between variables fundamental to the neural network approach may be important to consider
Convergence in male and female life expectancy
The cornerstone of mortality- and life-expectancy forecasting in developed nations, the Lee-Carter model relies on assumptions of there being a dominant singular value that captures most of the variance within a matrix of age-specific mortality rates over
Multi-Country analysis of palm oil consumption and cardiovascular disease mortality for countries at different stages of economic development
BACKGROUND: Cardiovascular diseases represent an increasing share of the global disease burden. There is concern that increased consumption of palm oil could exacerbate mortality from ischemic heart disease (IHD) and stroke, particularly in developing countries where it represents a major nutritional source of saturated fat. METHODS: The study analyzed country-level data from 1980-1997 derived from the World Health Organization's Mortality Databa…
Convergence in male and female life expectancy
The cornerstone of mortality- and life-expectancy forecasting in developed nations, the Lee-Carter model relies on assumptions of there being a dominant singular value that captures most of the variance within a matrix of age-specific mortality rates over
Multi-Country analysis of palm oil consumption and cardiovascular disease mortality for countries at different stages of economic development
BACKGROUND: Cardiovascular diseases represent an increasing share of the global disease burden. There is concern that increased consumption of palm oil could exacerbate mortality from ischemic heart disease (IHD) and stroke, particularly in developing countries where it represents a major nutritional source of saturated fat. METHODS: The study analyzed country-level data from 1980-1997 derived from the World Health Organization's Mortality Databa…
Convergence in male and female life expectancy
The cornerstone of mortality- and life-expectancy forecasting in developed nations, the Lee-Carter model relies on assumptions of there being a dominant singular value that captures most of the variance within a matrix of age-specific mortality rates over
Machine learning approaches to the social determinants of health in the health and retirement study
Some of the machine learning methods do not improve prediction or fit beyond simpler models, however, neural networks performed well. The predictors identified across models suggest underlying social factors that are important predictors of biological indicators of chronic disease, and that the non-linear and interactive relationships between variables fundamental to the neural network approach may be important to consider
Inflammatory Biomarkers Differ among Hospitalized Veterans Infected with Alpha, Delta, and Omicron Sars-CoV-2 Variants
Mortality due to COVID-19 has been correlated with laboratory markers of inflammation, such as C-reactive protein (CRP). The lower mortality during Omicron variant infections could be explained by variant-specific immune responses or host factors, such as vaccination status. We hypothesized that infections due to Omicron variant cause less inflammation compared to Alpha and Delta, correlating with lower mortality. This was a retrospective cohort …
Frailty Among Older Indians
Frailty is a common syndrome affecting older adults. While frailty has well-established relationships with multiple adverse health outcomes and death, the role of the social and economic environment in the development of frailty is less clear. We consider this relationship in India, which has a growing population of older adults whose environments have undergone extensive social and economic changes over the last few decades. We compare the distr…
Medicine (4 obras) · Demography (3 obras) · Global Health Care Issues (3 obras) · Population (3 obras) · Insurance, Mortality, Demography, Risk Management (2 obras) · Sociology (2 obras) · Artificial Intelligence (1 obras) · Artificial neural network (1 obras) · Climate Change and Health Impacts (1 obras) · Coconut Research and Applications (1 obras)