Loading...
Loading...
Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,132 datasets
Vinaytosh Mishra's framework proposes a hybrid decision method combining Multi-Criteria Decision Analysis (MCDA) and cost-effectiveness analysis. The 503.7 KB resource includes files in DOCX, PDF, and XLSX formats. It was last updated in April 2026.
A hybrid decision framework combining Multi-Criteria Decision Analysis (MCDA) and cost-effectiveness analysis. The framework, created by Vinaytosh Mishra, is provided as a 503.7 KB collection of DOCX, PDF, and XLSX files. It was last updated in April 2026.
100 elderly participants aged 60 years and above were surveyed at Chittagong Medical College Hospital. Mahmud Hassan Arif translated and culturally adapted the Geriatric Depression Scale – Short Form (GDS-15) into Bengali and performed psychometric validation. The dataset includes results from reliability testing, chi-square analysis, ANOVA, and principal component analysis.
Bangladesh-based psychometric validation data for a Bengali translation of the Geriatric Depression Scale – Short Form (GDS-15). The dataset contains responses from 100 elderly participants aged 60 and above, collected in a cross-sectional study at Chittagong Medical College Hospital. Author Mahmud Hassan Arif published the dataset on figshare in March 2026 under a CC-BY-4.0 license.
Data Sheet 1 by Samuel N. Vucic, last updated March 2026, aggregates effect size measures for sex differences in brain metrics. It includes data from over 148,000 individuals, combining prenatal ultrasound, postnatal head circumference, and structural MRI measurements from ages 5 to 89 years. The dataset quantifies differences in head circumference, cortical surface area, cortical thickness, and cortical volume using Cohen's d.
A retrospective cohort study evaluating the effects of nurse-delivered lymphatic skin massage education on postoperative outcomes. The dataset, created by Fulya Bozdemir Çakıcı and last updated in April 2026, compares patients who adhered to a massage protocol with those who did not. It is a 15.5 KB Excel file available under a CC-BY-4.0 license.
Debora Curci's 2026 figshare document presents a comparative analysis of metal, metalloid, and inflammatory cytokine levels in pediatric cerebrospinal fluid. The exploratory study quantifies differences between children with neurological diseases or CNS infections and control patients. It identifies correlations between specific cytokines like Pentraxin-3 and metals such as calcium and copper.
An exploratory study compares metal, metalloid, and inflammatory cytokine levels in the cerebrospinal fluid of pediatric patients with neurological diseases or CNS infections against control patients. The analysis reveals higher metal concentrations in patient groups and identifies correlations between specific cytokines like Pentraxin-3 and IL-8 and elements including calcium, copper, and iron. The dataset is derived from the research findings published by Debora Curci in a 21.2 KB document.
GEOS-5 FP-IT model parameters, including boundary layer top pressure and vertical wind profiles, are co-located in space and time with the OMI/Aura satellite's UV-2 swath. Each data file is approximately 45mb in size and is provided in netCDF4 format for compatibility. The product was generated for the OMI/Aura team's L2 algorithms and related research, with Zachary Fasnacht of SSAI as the lead.
GEOS-5 FP-IT 3D Time-Averaged Single-Level Diagnostics Geo-Colocated to OMI/Aura UV2 1-Orbit L2 Swath 13x24km V4 (OMUFPSLV) provides selected atmospheric parameters from the GEOS-5 Forward Processing for Instrument Teams assimilated product, spatially and temporally matched to the Ozone Monitoring Instrument (OMI) UV-2 swath. The product includes fields such as boundary layer top pressure, tropopause pressure, surface pressure, surface skin temperature, and vertical wind profiles at 10m. Each file is approximately 45mb in netCDF4 format, generated for use by the OMI/Aura team and for research involving their Level 2 products.
Abera Mulatu Uma's dataset contains clinical and hospital-related factors for 411 mechanically ventilated patients in the AICU at JMC. The data covers the period from 2019 to 2023 and is available as a 9.5 KB XLS file on figshare.
411 records of mechanically ventilated patients in the AICU at JMC from 2019 to 2023. The dataset, authored by Abera Mulatu Uma, focuses on complications, re-intubation, and MODS-related factors. It was last updated on April 21, 2026, and is shared under a CC-BY-4.0 license.
2010 to 2025 study-level data quantifying HIV drug resistance among patients on antiretroviral therapy with virological failure in sub-Saharan Africa. The dataset was compiled by Siyabonga Malinga from systematic searches of PubMed/MEDLINE, SCOPUS, and Google Scholar, following PRISMA guidelines. Each record includes variables on study setting, population characteristics, treatment exposure, and resistance outcomes with prevalence estimates and confidence intervals.
2026-03-23 is the last update date for this 5.5 KB XLS file by Xiaochen Zheng, which contains results from a study on postoperative delirium (POD) phenotypes. The dataset presents model performance metrics and SHAP feature scores from a case study using real-world electronic health record data covering preoperative, intraoperative, and postoperative stages. It is licensed under CC BY 4.0.
Kuncai Xu's 2026 study presents experimental results comparing a proposed LM-UNet method against seven other segmentation methods on the PROMISE12 dataset. The analysis focuses on metrics like parameter count, computational memory requirements, and lesion margin segmentation accuracy. The supporting data file is 5.5 KB in size.
Ablation experiments evaluating a Lightweight Mamba-UNet (LM-UNet) method for prostate lesion segmentation in MRI. The dataset, uploaded by Kuncai Xu in March 2026, compares model performance on parameters like parameter count, computational memory, and segmentation accuracy against seven other methods. The data is stored in an XLS file sized 9.5 KB.
Experimental results compare the proposed LM-UNet method against seven other segmentation methods on the PROMISE12 dataset. The analysis includes metrics for parameter count, computational memory requirements, and segmentation accuracy of lesion margins. The dataset is provided by author Kuncai Xu and was last updated in March 2026.
A tabular dataset detailing the encoder input and output dimensions for the LM-UNet neural network architecture. The data was uploaded by author Kuncai Xu to figshare on March 23, 2026. The LM-UNet method is designed for segmenting lesions in prostate magnetic resonance images (MRI) and was evaluated on the PROMISE12 dataset.
Experimental results from 2026 compare the LM-UNet and UVM-UNet models for prostate MRI lesion segmentation. The data includes metrics on parameter count, computational memory requirements, and segmentation accuracy for lesion margins, evaluated on the PROMISE12 dataset. The study was authored by Kuncai Xu.
Fifteen participants undergoing active treatment for anal fistula were interviewed at two hospitals. The qualitative study explores experiences of shame, uncertainty, and social withdrawal, analyzing data through three identity-shaping mechanisms: Knowledge Uncertainty, Expectations and Experiences, and Quality-of-Life. The dataset is a 17.5 KB XLS file containing the analysis from this study.