Introduction to Multi Site Data

Quantitative evaluation metrics were used to validate the method on three separate multi-site datasets.

RESEARCH DESIGN Secondary analysis of a multi-site dataset from a study of discharge readiness assessment and post-discharge return to hospital, comparing matched samples of patients referred and not referred for home health care at the time of hospital discharge.

Attempts to use artificial intelligence (AI) to perform automated quality control (QC) for both single-site and multi-site datasets have been explored in some neuroimaging techniques (e.

In each RSN, we identified altered functional connectivity between ASD and HC across the multi-site data.

coli monitoring approaches for each of the multi-site datasets as evidenced by Pearson R-squared values ranging from 0.

This consists of three phases: creating a standardised manner of inventorying the sites; standardising field rank scoring for each site by geotourism value, cultural value, ecological sensitivity, accessibility, de velopment requirements, currently available academic literature, and, developing a final multi-site database assisting the South African National Parks to preserve geoheritage sites.

In the future, advanced feature selection and machine learning methods combined with multi-site dataset or easily operated task-based fMRI data may appear to have the potentiality to serve as a promising diagnostic tool for ASD.

Moreover, significant associations were detected between sex and choline levels and between age and glutamate and GABA+ levels that were not detectable prior to harmonisation, confirming the importance of removing site and vendor effects in multi-site data.

First, we conducted a meta-analysis on a large multi-site dataset of 618 MDD and 683 controls to quantify the differences in DMN subsystem functional connectivity between MDD and controls.

Conclusion By combining rapid, continual assessment of DQ with a large volume of multi-site data, it is possible to support more nuanced scientific questions with the scale and rigor that they require.

To harmonize the multi-site data, nine healthy participants (“traveling subjects”) visited the sites from which the above datasets were obtained and underwent neuroimaging with 12 scanners.

Multi-site data detailing clinical characteristics of patient deaths from large populations, managed by specialist and generalist palliative care providers is lacking.

The use of multi-site datasets in neuroimaging provides neuroscientists with more statistical power to perform their analyses.

The current work capitalized on multiple data analytics including data-driven subtyping and dimensional approaches to quantify cognitive imbalances in multi-site datasets of individuals diagnosed with autism spectrum disorder (ASD) and neurotypical controls, and assessed structural and functional brain network substrates.

We develop a real-time machine learning framework that incorporates dynamic patient contact networks to predict patient-level hospital-onset COVID-19 infections (HOCIs), which we test and validate on international multi-site datasets spanning epidemic and endemic periods.

However, since multi-site data are aggregated post-hoc, i.

We hope that the multi-site dataset in the iSeg-2019 and this review article will attract more researchers to address the challenging and critical multi-site issue in practice.

After applying our pipeline to this large multi-site dataset of neonates and infants with congenital heart disease (n= 398 subjects recruited across 4 centers, with a total of n=763 MRI pre-operative/post-operative time points), we show that infants with single ventricle cardiac physiology demonstrate greater white matter microstructural alterations compared to infants with bi-ventricular heart disease, supporting what has previously been shown in literature.

We trained our model using data from five large-scale multi-site datasets with varied demographics.

In particular, reduced labour and travel costs made viable wider reaching participant recruitment and multi-site data collection.

In such a multi-site data repository environment, the data location informing service will be essential to find and retrieve the data efficiently.

Experimental results on multi-site datasets demonstrate the proposed method outperforms several state-of-the-art methods in detection of glioma subtype status.

Study types included community surveys (34%), prospective (22%) and retrospective (17%) multi-site data, registries (12%), single-site data (12%), and systematic reviews (5%).

We examined the proposed method on a large multi-site dataset known as ABIDE (Autism Brain Imaging Data Exchange) and have achieved state-of-the-art classification results with an accuracy of 73.

This multi-site data set includes potentially confounding sources of variance, such as differences between data collection sites and/or scanner manufacturers, in addition to those inherent to RSFC (e.

MethodsThis retrospective study will use clinical registries and big data informatics tools to build a multi-site dataset that contains structural and diffusion MRI, clinical information including hospital course, short-term outcomes (during infancy), and long-term outcomes (~ 2 years of age) for at least 300 patients from multiple hospitals.

Subjects/MethodsMulti-site data from 139 adolescents undergoing bariatric surgery (Mage = 16.

Intensity normalization methods offer a potential solution for working with multi-site data.

A multi-task learning method was developed to simultaneously learn the site-specific and site-shared features from the multi-site data, which were then used to discriminate schizophrenic patients from normal controls.

We show that our algorithm has one of the lowest errors in all datasets (accuracy), and this is achieved while sticking to a fixed set of parameters for multi-site data (generality).

This multi-site dataset was evaluated by positive matrix factorization (PMF) in order to identify the main anthropogenic metal(loid) sources impacting the studied area, and to quantify their contribution to the measured metal(loid) levels.

We detected ASD patients using most common resting-state functional magnetic resonance imaging (fMRI) data from a multi-site dataset named the Autism Brain Imaging Exchange (ABIDE).

Based on the multi-site dataset of GUAN, the goal of this study is to investigate how pollutant parameters may interfere with spatial characteristics and site categories.

MethodsWe used a large multi-site dataset comprised of a heterogeneous population of individuals with autism and typically developing individuals to compare a number of resting-state functional connectivity features of autism.

To begin to answer this question, we leverage a multi-site dataset of structural MRI images, which includes a range of children and adolescents with varying degrees of psychopathology.

Apart from the generalizability requirements, the information and processes presented in the chapter are equally applicable to program evaluation, wherein multi-site data may provide substantive information for meta-analyses.

Then, we train a Relevance Vector Machine (RVM) model over a large multi-site dataset of healthy subjects to perform volume harmonization.

We evaluated, on two independent multi-site datasets, individual fingerprints in test-retest visit pairs within and across two sites and present a generalized framework based on principal component analysis to improve identifiability.

Literature examining segmentation tool performances in real-world multi-site data acquisition settings is scarce.

Using resting-state functional magnetic resonance imaging (fMRI) we searched for sex- and hemisphere-specific changes in whole-brain functional-connectivity in multi-site datasets (altogether 672 subjects including 286 patients, all right-handed) in the first-episode schizophrenia (illness duration ≤ 1 year, mostly drug naive) and in chronic stages of schizophrenia (illness duration > 1 year), respectively.

To examine these potentially subtle relationships, we amassed a large multi-site dataset that was carefully quality controlled (yielding a final sample of 1327 from the initial dataset of 3145 magnetic resonance images; 491 individuals with ASD).

Objectives We aimed to gain a better understanding of how standardization of laboratory data can impact predictive model performance in multi-site datasets.