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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,756 datasets
A clinical review paper from Creighton University authored by Shashi Kant Bhatia, sourced from the paperswithcode platform. It discusses major depression affecting 3 to 5 percent of children and adolescents, covering diagnostic criteria, risk factors, and evidence-based treatment options. The dataset likely contains the full text of this medical literature.
Riyadh, Saudi Arabia, is the focus of this dataset describing the epidemiology of gastrointestinal pathogens detected by multiplex PCR at a tertiary care center. It includes results from 9,122 stool specimens processed between January 2023 and December 2024, with 2,866 positive tests from 2,189 unique patients. The data was collected by Nabeel Alzahrani and published on figshare in 2026.
Boundaries for Nova Scotia civic communities, defined in consultation with municipalities and emergency services. Columns suggest administrative metadata like verification status, municipal codes, and geometry. The dataset is available in multiple geospatial formats.
A meta-analysis of 19 randomized controlled trials involving 2,025 patients with heart failure with preserved ejection fraction (HFpEF). The study, authored by Fenghong Liu and last updated in May 2026, systematically assesses the impact of exercise-based cardiac rehabilitation on rehospitalization, mortality, and functional capacity. The results are compiled from a systematic review conducted according to PRISMA guidelines.
Feng Qiao authored a dataset from a quasi-experimental study evaluating a Digital Occupational Health Management System (OHMS) at Taizhou Fourth People's Hospital, Jiangsu, China. The study included 300 healthcare workers in an intervention group and 300 matched controls, with data collected over a 12-month period ending in 2026. Outcomes measured include presenteeism, psychological wellbeing, emotional exhaustion, sick leave days, overtime hours, absenteeism, and work efficiency.
A clinical study dataset analyzes multidrug-resistant bacterial bloodstream infections in adult acute leukemia patients. The data includes 105 identified MDR isolates and reports a 30-day all-cause mortality rate of 10.5%. Authored by Xiaodan Wang and last updated in June 2026, the study provides epidemiological data from northeastern China.
A proof-of-concept clinical trial dataset from 20 patients with solid tumor brain metastases. The study measured the rapid effects of intravenous L-arginine doses on lactate metabolism using magnetic resonance spectroscopy. Data was published by Xueping Liu on figshare under a CC-BY-4.0 license and last updated in May 2026.
Lin-bo Yin's retrospective cohort study analyzes serial serum vitamin D measurements from 513 female patients with primary invasive breast cancer treated between 2020 and 2023. The data includes measurements at baseline, mid-treatment, and post-treatment follow-up over a median of 38.0 months, used to model distinct vitamin D change patterns. The study evaluates the association between these dynamic trajectories and event-free survival, constructing a prognostic nomogram.
A retrospective cohort of 513 female patients with primary invasive breast cancer treated between 2020 and 2023, with a median follow-up of 38.0 months. Serial serum vitamin D measurements were taken at three time points and analyzed using group-based trajectory modeling to identify six distinct patterns. The study, authored by Lin-bo Yin, evaluated the association between these dynamic vitamin D trajectories and event-free survival.
513 female patients with primary invasive breast cancer were enrolled between 2020 and 2023, with a median follow-up of 38.0 months. Serial serum vitamin D measurements were taken at baseline, mid-treatment, and post-treatment, and group-based trajectory modeling identified six distinct patterns. The study, authored by Lin-bo Yin and shared on figshare, found these dynamic trajectories to be an independent prognostic factor for event-free survival.
A retrospective cohort of 149 atrial fibrillation patients undergoing catheter ablation procedures on continuous oral anticoagulation, used to develop a machine learning prediction model for intracardiac thrombus formations. The dataset includes clinical, echocardiographic, and p-wave morphology data from patients screened via transesophageal echocardiography. The model was developed by F. Ratajczak and published on figshare in 2026.
30 individuals aged 6 to 18 years with cystic fibrosis participated in a cross-sectional study evaluating exercise capacity and daily physical activity. The data includes clinical profiles, spirometry results, bioimpedance, a modified shuttle test, and accelerometer-measured activity over 5 days. The study was authored by Leticia Tosts da Silva and is available via paperswithcode.
A cross-sectional study of 327 adolescents aged 14 to 19 from public and private schools. The dataset likely contains anthropometric assessments, biochemical parameters, and blood pressure measurements used to determine the prevalence of metabolic syndrome. The study was conducted by Myrla Gabriela Mendes and uses the NCEP/ATP III diagnostic criteria.
A cross-sectional study of 327 adolescents aged 14 to 19 from public and private schools in an unspecified region. The dataset, created by Myrla Gabriela Mendes, includes anthropometric, biochemical, and blood pressure measurements used to determine a 7% prevalence of metabolic syndrome. The study found that 90.8% of the sample had at least one diagnostic criterion for the syndrome.
427 patients with glioma were included in a retrospective cohort to develop machine learning models for predicting postoperative venous thromboembolism (VTE) and postoperative neurological deterioration (PND). The GLOBE platform provides an online tool for individualized risk assessment, with models achieving AUCs of 0.815 for VTE and 0.741 for PND prediction. This dataset was authored by Feiling Xiang and last updated on June 1, 2026.
427 patients with glioma were included in a retrospective cohort study to develop machine learning models for predicting postoperative venous thromboembolism (VTE) and postoperative neurological deterioration (PND). The models, including a Top-10 random forest for VTE and a Top-10 logistic regression for PND, were validated on a held-out test set and deployed in an online platform by Feiling Xiang. The dataset was last updated on June 1, 2026.
2001/02 administrative data from the UK Department of Health on net healthcare expenditure per capita for medical, surgical, and psychiatric specialties. The data is aggregated from the Annual Financial Returns of NHS Trusts and covers Local Authority Districts and national levels across England. It was published by the Health Poverty Index as part of its 'Situation of Health' indicators.
Experimental statistics from the Mental Health Services Data Set (MHSDS), which replaced the Mental Health and Learning Disabilities Dataset (MHLDDS). The data includes analysis of waiting times, first published in March 2016, and incorporates elements from previous monthly reports as well as some new measures. It is produced by NHS Digital and is available in CSV, XLS, and HTML formats.
NHS Digital records clinical dental treatments in England from April 2008 onward, aggregated to Clinical Commissioning Group (CCG) level. The data originates from FP17 forms, where a single course of treatment can include multiple procedures. This dataset is licensed under OGL-UK-3.0 and was last updated on July 8, 2026.
NHS Digital provides patient charge data for NHS dental services in England aggregated to Clinical Commissioning Group (CCG) level. This dataset replaced previous patient charges data at PCT level from the 2013/14 period. The data is available in CSV, HTML, and PDF formats under the OGL-UK-3.0 license.