[HTML][HTML] Role of artificial intelligence in the diagnosis and treatment of diseases
Artificial intelligence (AI) is rapidly transforming healthcare, and one of its most promising
applications is in the diagnosis and treatment of diseases. AI algorithms can analyze vast …
applications is in the diagnosis and treatment of diseases. AI algorithms can analyze vast …
Detection of autism spectrum disorder (ASD) in children and adults using machine learning
Autism spectrum disorder (ASD) presents a neurological and developmental disorder that
has an impact on the social and cognitive skills of children causing repetitive behaviours …
has an impact on the social and cognitive skills of children causing repetitive behaviours …
A snapshot on introspection of autism spectrum disorder
G Kale, V Addepalli, S Joshi - Molecular Biology Reports, 2024 - Springer
Autism spectrum disorder is a neurodevelopmental condition marked by restricted interests
and difficulty with social communication. ASD is characterized by heightened …
and difficulty with social communication. ASD is characterized by heightened …
[HTML][HTML] Multinomial logistic regression method for early detection of autism spectrum disorders
D Jayaprakash, CS Kanimozhiselvi - Measurement: Sensors, 2024 - Elsevier
A child with autism spectrum syndrome may have diverse personality traits, making it a
heterogeneous condition, with cognitive abilities, emotional types, and so on. The system …
heterogeneous condition, with cognitive abilities, emotional types, and so on. The system …
Multimodal Deep Learning in Early Autism Detection—Recent Advances and Challenges
SS Dcouto, J Pradeepkandhasamy - Engineering Proceedings, 2024 - mdpi.com
Autism spectrum disorder (ASD) is a global concern, with a prevalence rate of approximately
1 in 36 children according to estimates from the Centers for Disease Control and Prevention …
1 in 36 children according to estimates from the Centers for Disease Control and Prevention …
[HTML][HTML] Investigating multiclass autism spectrum disorder classification using machine learning techniques
The diagnosis and classification of autism spectrum disorder (ASD) presents anatomical
difficulty owing to the existence of a wide range of symptoms that may be organized into …
difficulty owing to the existence of a wide range of symptoms that may be organized into …
Behavioral and Clinical Data Analysis for Autism Spectrum Disorder Screening with Machine Learning
The study of appropriate and accurate classification for “autism spectrum disorder (ASD)” is
crucial, and this study,“Behavioral and Clinical Data Analysis for Autism Spectrum Disorder …
crucial, and this study,“Behavioral and Clinical Data Analysis for Autism Spectrum Disorder …
Impact of Heterogeneous Spectral Features for enhanced low-resource Speech Recognition System under mismatched conditions
The development of an Automatic Speech Recognition (ASR) system for children has been
a significant difficulty because of the substantial inherent heterogeneity in the physical traits …
a significant difficulty because of the substantial inherent heterogeneity in the physical traits …
An Examination of the Function of Artificial-Intelligence in the Diagnosis of Autism-Spectrum-Disorder
R Garg, C Manral, T Joshi, M Bisht… - … Conference on Self …, 2024 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a brain disease that makes it hard to do things over and
over, connect with others, and talk. Early identification is very important, even if biology is the …
over, connect with others, and talk. Early identification is very important, even if biology is the …
Empirical Evaluation of Machine Learning Techniques for Autism Spectrum Disorder
Autism spectrum disorder (ASD) is a complicated neurological system disorder that has
severe effects on a person's spoken communication, logical thinking, and person-to-person …
severe effects on a person's spoken communication, logical thinking, and person-to-person …