Development of a Diagnostic Tool for Balance Disorders Based on Machine Learning Techniques.

A diagnostic tool is developed for balance disorders based on machine learning techniques. This tool is addressed at experts, in order to support the diagnosis of 5 categories of balance disorders and ultimately 11 specific disorders. Unlike previous works, for each case one general classification model and only one additional specialized classification model are used to provide the recommended diagnosis, while obtaining satisfactory results and overall performance. Certain features are also extracted and identified as determinant for the correct prediction of the diagnostic categories (general classifier) and the diagnoses of each diagnostic category (specialized classifiers).

Machine Learning for Autistic Spectrum Disorder Risk Screening.

In the modern world of rapidly increasing autistic spectrum disorder case rates, medical costs, societal impact, and long-waiting times from initial screening, there is a need for an easy, early screening of autistic spectrum disorder risk in children. In this paper, a mobile application was developed with these requirements, using machine learning algorithms achieving high performance compared to other applications that use simple rule approaches. A recently published autistic spectrum disorder dataset is used to train the model, containing hundreds of screening data from children in the ages 4 to 11.

Mobile Application for Monitoring and Preventing Cognitive Decline Through Lifestyle Intervention.

Diagnosing and preventing Alzheimer's disease is a complex task, partly due to being characterized by a lengthy asymptomatic stage. In order to tackle this, most preclinical studies are multidimensional in nature and largely focus on prevention through lifestyle interventions, such as improving nutrition and introducing physical as well as cognitive exercise. With the widespread use of mobile smart devices today, mobile health applications can help inform high-risk individuals at a low cost, while also aiding in the prevention of cognitive decline through constant virtual coaching services that contribute to lifestyle interventions. Under this light, a mobile application is developed in the context of this paper that provides risk assessment of individuals, daily monitoring of factors that have been found to help prevent cognitive impairment, and individually tailored guidance based on the individual's progress. The developed application is also capable of reassessing users' risk to track their progress, while also providing these services in an intuitive and user-friendly manner, which could enable the future development of more accurate models through the collected data.

A Brief Survey of the Prisoners' Dilemma Game and Its Potential Use in Biology.

Prisoners' Dilemma is a well-known game in game theory with many variations and applications in a number of fields. The addition of quantum strategies in this game opens up new possibilities and changes the equilibria of the game significantly.