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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,160 datasets
Giving access to multi-scale finite element modeling and experimental validation data for 3D-printed scoliosis orthoses, developed by Thomáy-Claire Hoelen and published in 2026. It encompasses microscale tensile and compression tests, mesoscale strain distributions from digital image correlation, and macroscale full-brace reaction force measurements.
The CAMELYON dataset contains all data for the first computational pathology challenge using whole-slide images. It was created by Radboud University Medical Center to help pathologists identify breast cancer metastases in sentinel lymph nodes. The data is intended to develop AI algorithms that can make this difficult and time-consuming search faster and more accurate.
Cleaned Cleveland heart disease dataset with descriptive columns for ML. The dataset originates from the Cleveland Clinic Foundation, though the specific collection date is unknown. It is hosted on Kaggle.
Kaggle hosts a dataset titled 'Tuberculosis Diagnosis Prediction'. The dataset likely contains features for predicting tuberculosis diagnosis. Its specific size, origin, and update history are not provided in the available metadata.
The National Hospital Care Survey (NHCS) provides preliminary data on patient care from 24 inpatient and 23 emergency department hospitals for October 2022 to September 2024. It includes indicators related to drug use, comorbidities, and drug and polydrug overdose to inform public health responses. The data, contributed by the U.S. Department of Health & Human Services, are not yet nationally representative.
Twenty-nine scientific publications are categorized by ethical and patient-related domains, with multiple assignments possible per paper. The dataset was created by author Michael Winter and uploaded to figshare in March 2026.
Participant characteristics data supports a diagnostic accuracy study. The dataset is a 13.5 KB Excel file authored by Helen L. Storey and last updated in March 2026. It contains tabular information on patient demographics and other traits relevant to clinical trial analysis.
405 adolescent girls aged 10-19 years in TMK participated in this survey on menstrual health and hygiene practices. The dataset, authored by Naureen Rehman, was last updated in March 2026 and is provided in a 5.5 KB Excel file.
A 5.5 KB Excel file containing yearly data on hospital-based healthcare utilizations, COVID-19 cases, and the Policy Stringency Index. The dataset was authored by Hong Xiao and last updated in March 2026. Row and column counts are unknown.
A 5.5 KB Excel file containing patient demographic, clinical, and socioeconomic characteristics. The dataset was authored by Elias Edward Tannous and last updated in March 2026.
A 2026 analysis examines 90-day clinical outcomes for adult patients with varying asthma severities compared to non-asthma patients. The dataset contains multivariable analysis results in a tabular Excel format, authored by Julian Smith-Voudouris.
Patient characteristics for individuals undergoing posterior lumbar fusion, categorized by asthma status and severity. The dataset is provided in an XLS format with a size of 5.5 KB, authored by Julian Smith-Voudouris and last updated in March 2026.
Multivariable analysis examines 90-day outcomes for patients undergoing posterior lumbar fusion, controlled for age, sex, ECI, recent smoking history, and COPD. The dataset compares outcomes for patients with versus without asthma. Author Julian Smith-Voudouris published this clinical study in March 2026.
Julian Smith-Voudouris provides a univariable analysis of 90-day postoperative outcomes for patients undergoing posterior lumbar fusion, comparing cohorts with and without asthma. The dataset is a 9.5 KB Excel file containing tabular data on surgical outcomes and patient conditions. Specific row and column counts are unknown.
Julian Smith-Voudouris created this dataset comparing patient characteristics for those undergoing posterior lumbar fusion surgery, segmented by asthma status. It contains tabular data in an XLS file of 5.5 KB, last updated in March 2026. The specific row count and column features are not provided.
A 9.5 KB Excel file contains tabular data on patient characteristics and perioperative-related factors, authored by Noriyuki Misaki and last updated in March 2026. The dataset is licensed under CC BY 4.0 and is tagged for clinical medicine and surgery applications.
A tabular dataset compares 180-day post-discharge mortality and total medical expenditures for hospitalized COVID-19 patients based on mechanical ventilation or ECMO use. The dataset is provided by author Jun Kawabata and was last updated in March 2026. It is stored in a 5.5 KB XLS file.
Japanese COVID-19 patient data details baseline characteristics for hospitalized individuals, categorized by their use of mechanical ventilation or ECMO. The dataset is a small Excel file of 9.5 KB, created by author Jun Kawabata and last updated in March 2026.
Clinical coding data for eight instances where patients revealed contextual factors, either probed or unsolicited. The dataset contains 4C coding applied to these instances, authored by Justin Salehi and last updated in March 2026.
MIMIC-CXR-512-P10 is a medical imaging dataset published on Kaggle. The title suggests it contains chest X-ray images, likely derived from the MIMIC-CXR database. Specific details on size, author, and update date are not provided in the available metadata.