To identify reliable latent factors of MDD, we included MDD patients (n = 1079) and healthy controls (HCs,n = 1215) from six sites in discovery and replication cohorts. The demographic characteristic
To identify reliable latent factors of MDD, we included MDD patients (n = 1079) and healthy controls (HCs,n = 1215) from six sites in discovery and replication cohorts. The demographic characteristics of each scan site, after various exclusion criteria based on data quality (Methods) ...
Another study (Das and Malathy 2018) in the literature presented the clinical review of fundus images for detecting retinal diseases. The study (Kafieh et al. 2013) is modality specific, where image segmentation methods were reviewed for processing the retinal OCT images. The OCT segmentation ...
Methods A total of 48 first-episode drug-naïve MDD and 48 matched healthy controls (HCs) were included in this study. The sFNC and dFNC were analyzed using complete time-series and sliding window approach, respectively. Both sFNC and dFNC differences between groups were analyzed and associa...
2. Perspective of technology empowerment, artificial intelligence is embedded in major public health emergency response methods and policies 3. Design of an emergency command platform for major public health emergencies based on artificial intelligence-taking the prevention and control of Covid-19 as an...
Ecological resilience has an obvious spatial dependence and clustering characteristics in geospatial terms, and the ecological resilience of a certain area is affected by the isotropic influences of its neighboring areas (Huang et al., 2023). Several studies have also examined the coupling relationship...
in a specific application field, uses classification and clustering, regression analysis, neural network, etc. to mine the internal relationships conforming to the natural laws in the data, so as to solve technical problems of how to improve the reliability or accuracy of big data analysis in ...
In this paper, several popular and state-of-the-art methods were reviewed, with the focus on the most important attributes. These methods were classified according to the main approach taken, namely Image Difference, Optical Flow, Wavelet, Statistical, Layers, Manifold Clustering, Template Matching...
thus avoiding clustering based on disease-irrelevant features. The present sample consists of raw individual structural MRI in individuals with MDD, defined by structured clinical diagnostic criteria, obtained during a current depressive episode of at least moderate severity, in first-episode or recurrent...
As suggested by Grootendorst (2022), UMAP is used to reduce the dimensionality of the embeddings, which can improve the performance of clustering algorithms such as k-Means or HDBSCAN in terms of clustering accuracy and time (Allaoui et al., 2020). The text of both tweets and the ...