Toward interpretability of machine learning methods for the classification of patients with major depressive disorder based on functional network measures
We address the interpretability of the machine learning algorithm in the context of the
relevant problem of discriminating between patients with major depressive disorder (MDD) …
relevant problem of discriminating between patients with major depressive disorder (MDD) …
[Retracted] Evaluation of High‐quality Development of Shaanxi's Economy Based on Digital Economy Based on Machine Learning Algorithm
L Wang - International Transactions on Electrical Energy …, 2022 - Wiley Online Library
With the strong development of industrial transformation, the digital economy, as the most
dynamic, innovative, and widely radiated economic form at present, has become an …
dynamic, innovative, and widely radiated economic form at present, has become an …
Explainable machine learning methods for classification of brain states during visual perception
The aim of this work is to find a good mathematical model for the classification of brain states
during visual perception with a focus on the interpretability of the results. To achieve it, we …
during visual perception with a focus on the interpretability of the results. To achieve it, we …
From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine
Prostate cancer is the most common cancer in men worldwide and has a high mortality rate.
The complex and heterogeneous development of prostate cancer has become a core …
The complex and heterogeneous development of prostate cancer has become a core …
Review on the use of AI-based methods and tools for treating mental conditions and mental rehabilitation
This review provides a thorough examination of recent developments in artificial intelligence
analysis methods within mental and psychiatry field. By analyzing and comparing results …
analysis methods within mental and psychiatry field. By analyzing and comparing results …
Contrastive machine learning reveals in EEG resting-state network salient features specific to autism spectrum disorder
We explore the potential of the contrastive variational autoencoder to detect latent disorder-
specific patterns in the network, analyzing functional brain networks in autistic individuals as …
specific patterns in the network, analyzing functional brain networks in autistic individuals as …
Vulnerability prediction for secure healthcare supply chain service delivery
Healthcare organisations are constantly facing sophisticated cyberattacks due to the
sensitivity and criticality of patient health care information and wide connectivity of medical …
sensitivity and criticality of patient health care information and wide connectivity of medical …
Combination of machine learning and functional networks concept for diagnosis of autism spectrum disorder
The subjective assessment of experts and cost of evaluation make it much harder to
diagnose an early stage autism. This could lead to other complications in later life. In this …
diagnose an early stage autism. This could lead to other complications in later life. In this …
Decreased brain functional connectivity is associated with faster responses to repeated visual stimuli
A Boronina, V Maksimenko, A Badarin… - The European Physical …, 2024 - Springer
When processing repetitive visual stimuli, the brain experiences neuronal adaptation, a
process that reduces its response time by pre-activating specific neural groups crucial for …
process that reduces its response time by pre-activating specific neural groups crucial for …
[HTML][HTML] From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks
Background: Explainable artificial intelligence (XAI) is a technology that can enhance trust in
mental state classifications by providing explanations for the reasoning behind artificial …
mental state classifications by providing explanations for the reasoning behind artificial …