Statistical Studies of Heart Disease: III. Heart Disease Associated with Other Major Causes of Death as Primary or Contributory Cause

1949 ◽  
Vol 64 (4) ◽  
pp. 104 ◽  
Author(s):  
Mary Gover
Author(s):  
Michael Anderson ◽  
Corinne Roughley

The principal reported causes of death have changed dramatically since the 1860s, though changes in categorization of causes and improved diagnosis make it difficult to be precise about timings. Diseases particularly affecting children such as measles and whooping cough largely disappeared as killers by the 1950s. Deaths particularly linked to unclean environments and poor sanitary infrastructure also declined, though some can kill babies and the elderly even today. Pulmonary tuberculosis and bronchitis were eventually largely controlled. Reported cancer, stroke, and heart disease mortality showed upward trends well into the second half of the twentieth century, though some of this was linked to diagnostic improvement. Both fell in the last decades of our period, but Scotland still had among the highest rates in Western Europe. Deaths from accidents and drowning saw significant falls since World War Two but, especially in the past 25 years, suicide, and alcohol and drug-related deaths rose.


Author(s):  
Indu Yekkala ◽  
Sunanda Dixit

Data is generated by the medical industry. Often this data is of very complex nature—electronic records, handwritten scripts, etc.—since it is generated from multiple sources. Due to the Complexity and sheer volume of this data necessitates techniques that can extract insight from this data in a quick and efficient way. These insights not only diagnose the diseases but also predict and can prevent disease. One such use of these techniques is cardiovascular diseases. Heart disease or coronary artery disease (CAD) is one of the major causes of death all over the world. Comprehensive research using single data mining techniques have not resulted in an acceptable accuracy. Further research is being carried out on the effectiveness of hybridizing more than one technique for increasing accuracy in the diagnosis of heart disease. In this article, the authors worked on heart stalog dataset collected from the UCI repository, used the Random Forest algorithm and Feature Selection using rough sets to accurately predict the occurrence of heart disease


1997 ◽  
Vol 12 (2) ◽  
pp. 169-173 ◽  
Author(s):  
GEORGE C. ALTER ◽  
ANN G. CARMICHAEL

On November 11–14 1993, Indiana University hosted a conference on the ‘History of Registration of Causes of Death’, with funding from the US National Institute on Aging and the National Institute of Child Health and Human Development. The conference brought together historians of medicine and historically-oriented demographers and epidemiologists to discuss the origins of the recording of causes of death and the possible uses of these documents in demographic and epidemiological research. Demographers and epidemiologists would like to use long-run series of causes of death to examine the effects of social and economic conditions, the availability of health care, and specific risk factors on mortality. Many important questions (such as the effects of early health experiences on old-age morbidity and mortality) are best studied with data on changes over long periods of time. However, it is very difficult to construct a consistent series of deaths by cause over time because advances in medical theory and practice have led to significant changes in the classification of diseases. For example, it is unclear whether the prevalence of heart disease was increasing, decreasing, or constant before 1940, because heart disease was often classified under other categories.The essays in this special number of Continuity and Change offer a range of insights on the historical circumstances in which cause-of-death registration emerged. They help us to see the ways in which medical theory, medical practitioners, and their increasingly influential professional organizations shaped the conceptualization of reporting of causes of death. Günter Risse's ‘Causes of death as a historical problem’ serves as an overview of the problems that social historians of medicine find underlying any continuous history of mortality experience. Above all, he argues, medical historians react as historians, wary of Whiggish confidence in state records without attention to the ideologies governing their creation.


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