Parkinson's disease is a neurodegenerative disorder affecting movement, causing tremors, stiffness, and impaired balance, primarily due to the loss of dopamine-producing neurons in the brain's substantia nigra region.
Published in Chapter:
Ethical Considerations and Challenges in Neurodegenerative Diseases Using Machine Learning
Moushumi Das (Institute of Engineering and Technology, Chitkara University, India), Hitakshi Hitakshi (Institute of Engineering and Technology, Chitkara University, India), Vandana Mohindru Sood (Institute of Engineering and Technology, Chitkara University, India), Kamal Deep Garg (Institute of Engineering and Technology, Chitkara University, India), and Sushil Kumar Narang (Institute of Engineering and Technology, Chitkara University, India)
Copyright: © 2024
|Pages: 23
DOI: 10.4018/979-8-3693-1281-0.ch011
Abstract
Neurodegenerative illnesses, some of the most common diseases affecting public health, are affecting an increasing number of nations on a daily basis. Alzheimer's disease (AD) and other neurodegenerative disorders, such as Parkinson's disease (PD) and Huntington's disease (HD), cause gradual declines in cognitive, motor, emotional, and functional abilities and have a significant impact on activities of daily life (ADL) and quality of life. Because of major improvements in digital technology over the last 10 years, digital endpoints may now be integrated into clinical trials to change how neurodegenerative symptoms are diagnosed and tracked. A few additional challenges must be considered to protect those interests. In this chapter, the moral and legal difficulties surrounding the use of technology-assisted treatment for neurodegenerative disorders will be discussed along with a new technique using machine learning algorithms that would work upon the prevailing challenges and come out with better results.