Machine learning in mental health: a scoping review of methods and applications
BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …
data applications for mental health, highlighting current research and applications in …
Neuropsychological and electrophysiological measurements for diagnosis and prediction of dementia: a review on Machine Learning approach
C Carrarini, C Nardulli, L Titti, F Iodice, F Miraglia… - Ageing Research …, 2024 - Elsevier
Introduction Emerging and advanced technologies in the field of Artificial Intelligence (AI)
represent promising methods to predict and diagnose neurodegenerative diseases, such as …
represent promising methods to predict and diagnose neurodegenerative diseases, such as …
[HTML][HTML] Machine learning in medicine: Performance calculation of dementia prediction by support vector machines (SVM)
G Battineni, N Chintalapudi, F Amenta - Informatics in Medicine Unlocked, 2019 - Elsevier
Abstract Machine Learning (ML) is considered as one of the contemporary approaches in
predicting, identifying, and making decisions without having human involvement. ML is …
predicting, identifying, and making decisions without having human involvement. ML is …
Using machine learning-based analysis for behavioral differentiation between anxiety and depression
Anxiety and depression are distinct—albeit overlapping—psychiatric diseases, currently
diagnosed by self-reported-symptoms. This research presents a new diagnostic …
diagnosed by self-reported-symptoms. This research presents a new diagnostic …
A comprehensive machine-learning model applied to magnetic resonance imaging (mri) to predict alzheimer's disease (ad) in older subjects
G Battineni, N Chintalapudi, F Amenta… - Journal of Clinical …, 2020 - mdpi.com
Increasing evidence suggests the utility of magnetic resonance imaging (MRI) as an
important technique for the diagnosis of Alzheimer's disease (AD) and for predicting the …
important technique for the diagnosis of Alzheimer's disease (AD) and for predicting the …
Improved Alzheimer's disease detection by MRI using multimodal machine learning algorithms
Adult-onset dementia disorders represent a challenge for modern medicine. Alzheimer's
disease (AD) represents the most diffused form of adult-onset dementias. For half a century …
disease (AD) represents the most diffused form of adult-onset dementias. For half a century …
Gene biomarker discovery at different stages of Alzheimer using gene co-expression network approach
Alzheimer's disease (AD) is a chronic neurodegenerative disorder. It is the most common
type of dementia that has remained as an incurable disease in the world, which destroys the …
type of dementia that has remained as an incurable disease in the world, which destroys the …
A supervised machine learning approach using different feature selection techniques on voice datasets for prediction of Parkinson's disease
Among the neurological diseases, parkinson's disease is the second most common disease,
which affect the old age people over the age of 65 year. It is also mentioned that the number …
which affect the old age people over the age of 65 year. It is also mentioned that the number …
BNT–15: Revised performance validity cutoffs and proposed clinical classification ranges
K Abeare, L Cutler, KY An, P Razvi… - Cognitive and …, 2022 - journals.lww.com
Background: Abbreviated neurocognitive tests offer a practical alternative to full-length
versions but often lack clear interpretive guidelines, thereby limiting their clinical utility …
versions but often lack clear interpretive guidelines, thereby limiting their clinical utility …
Potential predictors for cognitive decline in vascular dementia: a machine learning analysis
Vascular dementia (VD) is a cognitive impairment typical of advanced age with vascular
etiology. It results from several vascular micro-accidents involving brain vessels carrying …
etiology. It results from several vascular micro-accidents involving brain vessels carrying …