Autism spectrum disorder (ASD) and Alzheimer's disease (AD) are two significant neurological disorders, which represent the scope of this book. ASD can be characterized by different conditions such as social skills, repetitive behaviors, speech and nonverbal communication, as well as having unique strengths and differences. According to the Centres for Disease Control and Prevention (CDC), the estimate of autism's prevalence is 1 in 68 children in the United States (i.e., 1 in 42 boys and 1 in 189 girls). Additionally, it is estimated that 50,000 teens with autism become adults each year.
AD is a chronic neurodegenerative disorder marked by cognitive and behavioral impairments. Statistically, 42% of AD sufferers are people older than 85 with the percentage decreasing to only 6% for people of 70-74 years old. Although the probability is small, younger individuals may also be affected. Several state-of-the-art machine learning techniques for the early diagnosis of ASD are presented in this book. Moreover, various studies are discussed to demonstrate the formation, cause, and medical treatments for the AD foetal disorder.
AD is a chronic neurodegenerative disorder marked by cognitive and behavioral impairments. Statistically, 42% of AD sufferers are people older than 85 with the percentage decreasing to only 6% for people of 70-74 years old. Although the probability is small, younger individuals may also be affected. Several state-of-the-art machine learning techniques for the early diagnosis of ASD are presented in this book. Moreover, various studies are discussed to demonstrate the formation, cause, and medical treatments for the AD foetal disorder.
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