Background The prevalence of Parkinson disease (PD) is becoming an increasing concern
owing to the aging population in the United Kingdom. Wearable devices have the potential …

Cartesian genetic programming, a well-established method of genetic programming, is
approximately 20 years old. It represents solutions to computational problems as graphs. Its …

Parkinson's disease (PD) is characterized by a variety of motor and non-motor symptoms. As
disease progresses, fluctuations in the response to levodopa treatment may develop, along …

Parkinson's disease (PD) is the second most common neurodegenerative disorder that
affects the extrapyramidal motor system. The initial clinical symptoms can appear long …

Self-tracking can help people understand their medical condition and the factors that
influence their symptoms. However, it is unclear how tracking technologies should be …

Parkinson's disease (PD) has become the second most common neurodegenerative
condition following Alzheimer's disease (AD), exhibiting high prevalence and incident rates …

Animal models of human disease provide an in vivo system that can reveal molecular
mechanisms by which mutations cause pathology, and, moreover, have the potential to …

In some situations, the interpretability of the machine learning models plays a role as
important as the model accuracy. Interpretability comes from the need to trust the prediction …

This chapter reviews applications of evolutionary machine learning within the medical
domain. It is divided into three parts. The first two parts give examples of recent work in two …

Huntington Disease (HD) is a degenerative neurological disease that causes a significant
impact on the quality of life of the patient and eventually death. In this paper we present an …