Perspective of artificial intelligence in healthcare data management: A journey towards precision medicine

NS Gupta, P Kumar - Computers in biology and medicine, 2023 - Elsevier
Mounting evidence has highlighted the implementation of big data handling and
management in the healthcare industry to improve the clinical services. Various private and …

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls

MR Arbabshirani, S Plis, J Sui, VD Calhoun - Neuroimage, 2017 - Elsevier
Neuroimaging-based single subject prediction of brain disorders has gained increasing
attention in recent years. Using a variety of neuroimaging modalities such as structural …

[Retracted] Classification and Detection of Autism Spectrum Disorder Based on Deep Learning Algorithms

FW Alsaade, MS Alzahrani - Computational Intelligence and …, 2022 - Wiley Online Library
Autism spectrum disorder (ASD) is a type of mental illness that can be detected by using
social media data and biomedical images. Autism spectrum disorder (ASD) is a neurological …

Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

P Moridian, N Ghassemi, M Jafari… - Frontiers in Molecular …, 2022 - frontiersin.org
Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and
symptoms that appear in early childhood. ASD is also associated with communication …

Detection of autism spectrum disorder in children using machine learning techniques

K Vakadkar, D Purkayastha, D Krishnan - SN computer science, 2021 - Springer
Abstract Autism Spectrum Disorder (ASD) is a neurological disorder which might have a
lifelong impact on the language learning, speech, cognitive, and social skills of an …

Classification and prediction of brain disorders using functional connectivity: promising but challenging

Y Du, Z Fu, VD Calhoun - Frontiers in neuroscience, 2018 - frontiersin.org
Brain functional imaging data, especially functional magnetic resonance imaging (fMRI)
data, have been employed to reflect functional integration of the brain. Alteration in brain …

Machine learning (ML) for the diagnosis of autism spectrum disorder (ASD) using brain imaging

HS Nogay, H Adeli - Reviews in the Neurosciences, 2020 - degruyter.com
Autism spectrum disorder (ASD) is a neurodevelopmental incurable disorder with a long
diagnostic period encountered in the early years of life. If diagnosed early, the negative …

Towards a brain‐based predictome of mental illness

B Rashid, V Calhoun - Human brain map**, 2020 - Wiley Online Library
Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

Identifying children with autism spectrum disorder based on their face processing abnormality: A machine learning framework

W Liu, M Li, L Yi - Autism Research, 2016 - Wiley Online Library
The atypical face scanning patterns in individuals with Autism Spectrum Disorder (ASD) has
been repeatedly discovered by previous research. The present study examined whether …

A small number of abnormal brain connections predicts adult autism spectrum disorder

N Yahata, J Morimoto, R Hashimoto, G Lisi… - Nature …, 2016 - nature.com
Although autism spectrum disorder (ASD) is a serious lifelong condition, its underlying
neural mechanism remains unclear. Recently, neuroimaging-based classifiers for ASD and …