Clinical prediction models in psychiatry: a systematic review of two decades of progress and challenges

AJ Meehan, SJ Lewis, S Fazel, P Fusar-Poli… - Molecular …, 2022 - nature.com
Recent years have seen the rapid proliferation of clinical prediction models aiming to
support risk stratification and individualized care within psychiatry. Despite growing interest …

Neuroimaging genetics approaches to identify new biomarkers for the early diagnosis of autism spectrum disorder

S Nisar, M Haris - Molecular psychiatry, 2023 - nature.com
Autism-spectrum disorders (ASDs) are developmental disabilities that manifest in early
childhood and are characterized by qualitative abnormalities in social behaviors …

Artificial intelligence in autism assessment

P Anagnostopoulou, V Alexandropoulou… - … Journal of Emerging …, 2020 - learntechlib.org
The current paper review gives a brief and representative description of the role that artificial
intelligence plays nowadays at the assessment of autism. Therefore, many researchers note …

Efficient machine learning models for early stage detection of autism spectrum disorder

M Bala, MH Ali, MS Satu, KF Hasan, MA Moni - Algorithms, 2022 - mdpi.com
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that severely impairs an
individual's cognitive, linguistic, object recognition, communication, and social abilities. This …

[HTML][HTML] A systematic literature review on the application of machine-learning models in behavioral assessment of autism spectrum disorder

N Cavus, AA Lawan, Z Ibrahim, A Dahiru… - Journal of Personalized …, 2021 - mdpi.com
Autism spectrum disorder (ASD) is associated with significant social, communication, and
behavioral challenges. The insufficient number of trained clinicians coupled with limited …

[HTML][HTML] An evaluation of machine learning approaches for early diagnosis of autism spectrum disorder

RA Rasul, P Saha, D Bala, SMRU Karim, MI Abdullah… - Healthcare …, 2024 - Elsevier
Abstract Autistic Spectrum Disorder (ASD) is a neurological disease characterized by
difficulties with social interaction, communication, and repetitive activities. While its primary …

Impact of artificial intelligence in nursing for geriatric clinical care for chronic diseases: A systematic literature review

MP Moghadam, ZA Moghadam, MRC Qazani… - IEEE …, 2024 - ieeexplore.ieee.org
Nurses are essential in managing the healthcare of older adults, particularly those over 65,
who often face multiple chronic conditions. This group requires comprehensive physical …

[HTML][HTML] Reliable Autism Spectrum Disorder Diagnosis for Pediatrics Using Machine Learning and Explainable AI

I Jeon, M Kim, D So, EY Kim, Y Nam, S Kim, S Shim… - Diagnostics, 2024 - mdpi.com
Background: As the demand for early and accurate diagnosis of autism spectrum disorder
(ASD) increases, the integration of machine learning (ML) and explainable artificial …

Machine learning classifiers for autism spectrum disorder: a review

D Eman, AWR Emanuel - 2019 4th International conference on …, 2019 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a brain development disorder affects the ability to
communicate and interact socially. There have been many studies using machine learning …

Analysis of temporal relationships between ASD and brain activity through EEG and machine learning

Y Jayawardana, M Jaime… - 2019 IEEE 20th …, 2019 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that impairs normative
social cognitive and communicative function. Early diagnosis is crucial for the timely and …