Titlebook: Alcohol and Aging; Clinical and Public Alexis Kuerbis,Alison.A. Moore,Faika Zanjani Book 2016 Springer International Publishing AG 2016 Al

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Rule Extraction from RBF Neural Networks,ion worldwide and a reported increase in alcohol consumption in older people there is growing concern over this public health issue. In order for health professionals to successfully intervene with older people who are experiencing alcohol problems, it is important to understand the underlying facto

先驅(qū)

Rule Extraction from RBF Neural Networks,tterns vary based on life course differences that continue into later adulthood and changes that take place as individuals age. This chapter focuses on how these different patterns are defined and quantified in terms of risk, with an emphasis on the idea that the process of aging plays an important

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neologism

Data Mining with Computational Intelligenceion and about 5 % report heavy drinking. While moderate alcohol drinking has been associated with cardiovascular benefits in both younger and older populations, heavy alcohol use is associated with adverse metabolic and cardiovascular effects. In this chapter, we summarize known effects of alcohol c

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Rule Extraction from RBF Neural Networks,n those 65 years of age and older. Adults 65 years of age or older with a history of at-risk alcohol use over their life time, particularly those with a history of tobacco use, should be routinely screened for alcohol-related cancers. Understanding the relationship between the metabolism of alcohol

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Support Vector Machines for Prediction,s likely to develop different types of dementia, including Alzheimer’s disease, compared to older adults who do not consume alcohol. Similar findings have been reported by studies that have examined midlife alcohol consumption and cognitive functioning during old age. The apparent benefits of consum

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Fuzzy Neural Networks for Bioinformatics,ntional falls and unintentional MVCs also rank among the causes of nonfatal injuries treated in hospital emergency departments (ED) for the 65+ age group. As in younger adults, alcohol use in older adults increases the risk of injuries and injury-related (and noninjury-related) mortality. Because of

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Rule Extraction from RBF Neural Networks,itions from full-time employment and family responsibilities to retirement and increased leisure activities, some older adults may find themselves increasingly reliant upon others for help, especially if their physical or mental health declines. A consequence of being vulnerable and reliant on other

騷擾

Basic Functions of the SPSS Modeler,ploration of how environmental factors such as familial and social influences either facilitate or hinder the use of alcohol among older adults. Specific contexts examined include experiences of retirement, residential context, and characteristics of social networks. Literature that explores these f