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912
datasets available to search
ShareScore release 0.9.0
Dataset results
912 results for “Morbidity”
Morbidity Related to Secondary Hyperparathyroidism After Renal Transplantation
ClinicalTrials.gov study NCT01741064. IPD Sharing: Not stated. Countries: 0. Publications: 4.
Prediction of Morbidity and Mortality With Medical Pre-Operative Fitness Assessment
ClinicalTrials.gov study NCT05892796. IPD Sharing: Not stated. Countries: 0. Publications: 6.
Influence of CPB Temperature on CABG Morbidity
ClinicalTrials.gov study NCT00000604. IPD Sharing: Not stated. Countries: 0. Publications: 2.
Nonalcoholic Fatty Liver Disease in Morbidly Obese Patients
ClinicalTrials.gov study NCT04059029. IPD Sharing: NO. Countries: 0. Publications: 7.
Study to Evaluate the Effect of Intravenous (IV) Paricalcitol (Zemplar) on Cardiac Morbidity in Patients With Chronic Kidney Disease (CKD) Stage 5 Over 2 Years
ClinicalTrials.gov study NCT01073462. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Intravenous Acetaminophen Use With Bariatric Surgery on Morbidly Obese Patients
ClinicalTrials.gov study NCT01527942. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Relationship Between Morbid Obesity and Carotid Artery Stenosis
ClinicalTrials.gov study NCT03306771. IPD Sharing: NO. Countries: 0. Publications: 6.
Impact of Blood Glucose Levels on in ICU Morbidity and Mortality in Patients With Acute Decompensated Heart Failure
ClinicalTrials.gov study NCT06453967. IPD Sharing: Not stated. Countries: 0. Publications: 8.
Postoperative Heme Oxygenase Induction and Carbon Monoxide Production as a Novel Method to Assess Hepatic Regeneration and Predict Hepatic Related Morbidity After Partial Hepatectomy
ClinicalTrials.gov study NCT04195438. IPD Sharing: YES. Countries: 1. Publications: 0.
Co Morbid Attention Deficit and Hyperactivity Disorder(ADHD) and Developmental Co Ordination Disorder (DCD)
ClinicalTrials.gov study NCT03595826. IPD Sharing: YES. Countries: 1. Publications: 0.
Supplementary material for: Increased morbidity in gynecomastia: A nationwide register-based cohort study
Open the record for dataset details and reuse information.
Data from: The role of morbidly obesity in the promotion of metabolic disruptions and non-alcoholic steatohepatitis by Helicobacter Pylori
Open the record for dataset details and reuse information.
Constitutive loss of DNMT3A causes morbid obesity through misregulation of adipogenesis
GEO Series GSE164892. Mus musculus. 4 samples. Type: Methylation profiling by high throughput sequencing.
Role and diagnostic performance of host epigenome in respiratory morbidity after RSV infection: the EPIRESVi study
GEO Series GSE199334. Homo sapiens. 77 samples. Type: Methylation profiling by genome tiling array.
Long-term disulfiram supplementation activates an anti-inflammatory metabolic network to lower diet-induced obesity and related co-morbidities
GEO Series GSE110200. Mus musculus. 32 samples. Type: Expression profiling by array.
RNA-seq analysis in human adipose tissue and jejunum in subjects with morbidly obesity
GEO Series GSE213058. Homo sapiens. 101 samples. Type: Expression profiling by high throughput sequencing.
Increased Inflammatory Low-Density Neutrophils in Morbid Obesity: Gene Expression and Effect of Bariatric Surgery
GEO Series GSE161042. Homo sapiens. 13 samples. Type: Expression profiling by high throughput sequencing.
Comparing Co-morbid Crohn's-Spndyloarhtritis to each of the underlying dieases
GEO Series GSE163314. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Microarray analysis of CD9high and CD9low progenitors isolated from omental adipose tissue of morbid obese individuals
GEO Series GSE84821. Homo sapiens. 14 samples. Type: Expression profiling by array.
Data from: Morbidity rate prediction of dengue hemorrhagic fever (DHF) using the support vector machine and the Aedes aegypti infection rate in similar climates and geographical areas
Background: In the past few decades, several researchers have proposed highly accurate prediction models that have typically relied on climate parameters. However, climate factors can be unreliable and can lower the effectiveness of prediction when they are applied in locations where climate factors do not differ significantly, and thus, they cannot enhance the capability of the predictive model's learning algorithm. The purpose of this study was to improve a dengue surveillance system in areas with similar climate by exploiting the infection rate in the Aedes aegypti mosquito and using the support vector machine (SVM) technique for forecasting the dengue morbidity rate. Methods and Findings: We identified the study areas in three provinces (Nakhon Pathom, Ratchaburi, and Samut Sakhon) of central Thailand that were reported to have a high incidence of dengue outbreaks. Prior to being added to the model, the infection data of the dengue vector, Aedes aegypti, the climate parameters, and the population density were collected from various sources and standardized. This process ensured that the data were not overwhelmed by each other in terms of the distance measures and to enhance the model effectiveness. The proposed framework consisted of the following three major parts: 1) data integration, 2) model construction, and 3) model evaluation. We discovered that the Aedes aegypti female and larvae mosquito infection rates were significantly positively associated with the morbidity rate. Thus, the increasing infection rate of female mosquitoes and larvae led to a higher number of dengue cases, and the prediction performance increased when those predictors were integrated into a predictive model. The support vector machine (SVM), a machine learning technique, has been receiving attention in many research areas due to its remarkable generalization performance. In this research, we applied the SVM with the radial basis function (RBF) kernel, referred to as the SVM-R, to forecast the high morbidity rate and take precautions to prevent the development of pervasive dengue epidemics. The experimental results showed that the introduced parameters significantly increased the prediction accuracy to 88.37% when used on the test set data, and these parameters led to the highest performance compared to state-of-the-art forecasting models. Conclusions: The infection rates of the Aedes aegypti female mosq uitoes and larvae improved the morbidity rate forecasting efficiency better than the climate parameters used in classical frameworks. This approach is more reliable and practical for monitoring dengue outbreaks, particularly in locations with similar climates because it does not rely on only climate factors. In addition, we demonstrated that the SVM-R-based model has high generalization performance and obtained the highest prediction performance compared to classical models as measured by the accuracy, sensitivity, specificity, and mean absolute error (MAE).
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.