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Introduction
Publications
Publications (8)
Purpose:
There remains uncertainty as to which risk factors are important for the development of defaecatory problems as a result of heterogeneity of published evidence. Understanding the impact of risk factors may be important in selecting targets for disease prevention or reversal. The aim of this study was to identify and evaluate risk factors...
Extensive dataset availability for neurological disease, such as multiple sclerosis (MS), has led to new methods of risk assessment and disease course prediction, such as using machine learning and other statistical methods. However, many of these methods cannot properly capture complex relationships between variables that affect results of odds ra...
Introduction
The influence of risk factors on the development of defaecatory problems is difficult to ascertain due to heterogeneity of published evidence. An understanding of the impact of these risk factors is important in selecting targets for disease prevention.
Methods
Risk factors for chronic constipation and faecal incontinence were anonymo...
Today, patients are demanding a newer and more sophisticated health care system, one that is more personalized and matches the speed of modern life. For the latency and energy efficiency requirements to be met for a real‐time collection and analysis of health data, an edge computing environment is the answer, combined with 5G speeds and modern comp...
Extensive dataset availability for neurological disease, such as multiple sclerosis (MS), has led to new methods of risk assessment and disease course prediction, such as machine learning and other statistical methods. However, many of these methods cannot account for complex relationships between variables that affect results of odds ratios unless...
In the last few decades, the prevalence of multiple sclerosis (MS), a chronic inflammatory disease of the nervous system, has increased, particularly in Northern European countries, the United States, and United Kingdom. The promise of artificial intelligence (AI) and machine learning (ML) as tools to address problems in MS research has attracted i...
