Invited commentary: the search for preventable causes of cardiovascular disease--whither work?

Invited Commentary Invited Commentary: The Search for Preventable Causes of Cardiovascular Disease—Whither Work?

The incidence and mortality of the major cardiovascular disorders vary sharply by occupation, but this is usually attributed to broad socioeconomic factors; the contributions of physical and psychosocial stressors at work remain obscure or controversial. Review of the ongoing studies of cardiovascular disease in the United States in this issue of the Journal demonstrates that few have either co...

Whither Mental Health Policy-Where Does It Come from and Does It Go Anywhere Useful?; Comment on “Cross-National Diffusion of Mental Health Policy”

Factors influencing cross-national diffusion of mental health policy are important to understand but complex to research. This commentary discusses Shen’s research study on cross-national diffusion of mental health policy; examines the extent to which the three questions researched by Shen (whether countries are more likely to have a mental health policy (a) the earlier a country becomes a memb...

Invited Commentary Invited Commentary: Genes, Environment, and Hybrid Vigor

In the 1950s, case-control studies of smoking and lung cancer established a paradigm for epidemiologic studies of risk factors for chronic diseases. Since then, thousands of case-control studies have examined possible associations of countless risk factors with numerous diseases, rarely finding associations as strong or consistent as that of smoking with lung cancer. Recently, researchers have ...

A Random Forest Classifier based on Genetic Algorithm for Cardiovascular Diseases Diagnosis (RESEARCH NOTE)

Machine learning-based classification techniques provide support for the decision making process in the field of healthcare, especially in disease diagnosis, prognosis and screening. Healthcare datasets are voluminous in nature and their high dimensionality problem comprises in terms of slower learning rate and higher computational cost. Feature selection is expected to deal with the high dimen...

Invited commentary: Height-cardiovascular disease relation: where to go from here?