Examining mental disorder/psychological chaos through various ML and DL techniques: a critical review

AB Osman, F Tabassum, MJA Patwary… - Annals of Emerging …, 2022 - papers.ssrn.com
Mental soundness is a condition of well-being wherein a person understands his/her
potential, participates in his or her community and is able to deal effectively with the …

Support vector machine prediction of individual Autism Diagnostic Observation Schedule (ADOS) scores based on neural responses during live eye-to-eye contact

X Zhang, JA Noah, R Singh, JC McPartland… - Scientific Reports, 2024 - nature.com
Social difficulties during interactions with others are central to autism spectrum disorder
(ASD). Understanding the links between these social difficulties and their underlying neural …

Predicting autism spectrum disorder (ASD) meltdown using fuzzy semi-supervised learning with NNRW

S Karim, N Akter, MJA Patwary - 2022 International Conference …, 2022 - ieeexplore.ieee.org
Autism Spectrum Condition (ASD) is a notable psychological disorder that affects a human's
ability to communicate socially. The need of early diagnosis prompted researchers' attention …

Machine Learning Methods to Detect Autism Among Children

AD Sallibi, KMA Alheeti - 2023 Al-Sadiq International …, 2023 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a neurological condition that permanently affects a
person's ability to learn languages, speak, think clearly, and interact with others. In the …

Effects of data preprocessing on detecting autism in adults using web-based eye-tracking data

E Khalaji, S Eraslan, Y Yesilada… - Behaviour & Information …, 2023 - Taylor & Francis
ABSTRACT Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder, often
associated with social and communication challenges and whose prevalence has increased …

Decoding Autism: Uncovering patterns in brain connectivity through sparsity analysis with rs-fMRI data

S Bandyopadhyay, S Peddi, M Sarma… - Journal of Neuroscience …, 2024 - Elsevier
Background: In the realm of neuro-disorders, precise diagnosis and treatment rely heavily
on objective imaging-based biomarker identification. This study employs a sparsity …

A machine-learning approach to classify depressive posts from Reddit social media

AW Quader, MS Jamil, MI Uddin… - … Conference on Next …, 2023 - ieeexplore.ieee.org
Depression leading to suicide has become a major concern in our society. It's high time to
investigate the reason behind it. As numerous people are expressing their concerns …

A novel fuzzy semi-supervised learning approach for the classification of colorectal cancer (fssl-crcc)

S Karim, MJA Patwary, MS Hossain… - … Conference on Applied …, 2022 - Springer
Colorectal Cancer (CRC) is a form of cancer that develops in the colon or rectum. It is also
referred as bowel cancer, colon cancer, or rectal cancer. CRC has become the second most …

Deep mobile linguistic therapy for patients with ASD

AE Ortiz Castellanos, CM Liu, C Shi - International Journal of …, 2022 - mdpi.com
Autistic spectrum disorder (ASD) is one of the most complex groups of neurobehavioral and
developmental conditions. The reason is the presence of three different impaired domains …

Neuro-Symbolic Approach for Tantrum Monitoring and Prevention in Individuals with Autism Spectrum Disorder: A Protocol for Virtual Agents

A MONALDINI - HHAI 2024: HYBRID HUMAN AI SYSTEMS …, 2024 - ebooks.iospress.nl
Autism Spectrum Disorder (ASD) poses unique challenges, with individuals often
experiencing difficulties in emotional regulation, leading to disruptive behaviors such as …