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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,157 datasets
HealthBR-CoverageGuide Dataset provides pairs of safe, non-diagnostic guidance related to healthcare coverage and access in Brazil. The dataset is hosted on Kaggle, but its author, organization, and last update date are unknown. Its specific size, format, and row count are not detailed in the available metadata.
A 5.5 KB Excel file contains survey data on medical professionals' knowledge of obstetric ultrasound report interpretation, awareness of foetal anomalies, and frequency of patient referrals prior to delivery. Authored by Albert Dayor Piersson and last updated in March 2026, the dataset is licensed for open use under CC BY 4.0.
Real-world vehicle sensor data intended for health monitoring and predictive maintenance tasks. The dataset is hosted on Kaggle, but specific details on its size, collection period, and author are not provided. Its primary application is in analyzing sensor readings to predict vehicle component failures.
MIMIC-BioViLT-Feats is a dataset hosted on Kaggle. The title suggests it contains derived features, likely from the MIMIC-III clinical database and possibly related to biomedical signals or vital signs. The dataset's specific content, size, and origin require verification after download.
Queensland Health provides contract disclosure reports for Children's Health Queensland Hospital and Health Service, covering awarded contracts valued over $10,000 from 2021 to 2026. The data is published by [email protected] in accordance with the Queensland Procurement Policy 2026.
A global dataset provides gridded estimates of air pollution and related health indicators for the year 2019. It was authored by Haiyan Wang and is hosted on the Harvard Dataverse platform. The dataset was last updated on May 11, 2026.
Kaggle hosts a dataset titled 'Healthcare_analyitcs'. The dataset likely contains information related to healthcare operations, patient outcomes, or resource utilization. Its specific contents, size, and origin are not detailed in the available metadata.
Z24 Bridge data is a crucial benchmark in Structural Health Monitoring research, collected from a two-span prestressed concrete bridge in Switzerland. The dataset was gathered by KULEUVEN and is widely used for damage detection research. The processed version was uploaded by thanglexuan to Hugging Face.
92 clinical trials of psychological and pharmacological treatments for adults with severe PTSD, with patient mean ages generally in the 30s to 40s, were included in this meta-analysis. The dataset was compiled by RTI International from sources including MEDLINE, PsycINFO, and Cochrane Library, covering literature from January 1980 to May 2012.
1992 to the most recent diagnosis year available provides annual counts and age-standardized rates of new primary cancer cases in Canada. Statistics Canada compiled this data, which includes all invasive cancers and in situ bladder cancer, using SEER groups based on ICD-O-3. Case counts are randomly rounded to the nearest multiple of five to protect privacy.
Annual counts and rates of new primary cancer diagnoses span from 1992 to the most recent available year. Statistics Canada compiled this data, which covers all invasive cancers and in situ bladder cancer. Case counts are randomly rounded to the nearest multiple of five to protect privacy.
Harvard Dataverse hosts a dataset from author Francis Alenghat, last updated on May 7, 2026. The data likely contains measurements related to regulatory macrophage function, focusing on coronary artery disease and the impact of inflammatory connective tissue diseases. The specific variables, scale, and collection methodology are not detailed in the available metadata.
Multi-Disease Dataset is a medical dataset hosted on Kaggle. The dataset's specific contents, size, and origin are not detailed in the available metadata. Its scope likely pertains to multiple health conditions, but the exact data types and collection methods require verification after download.
MIMIC-III data from Kaggle, focusing on the PRESCRIPTIONS table for predicting hospital length of stay. The dataset was created by Alistair Johnson, Tom Pollard, and Roger Mark. The description details a comprehensive list of drug administration route abbreviations used in clinical practice.
110,204 patient admission records from a primary cohort in Norway, with a subset of 19,051 admissions meeting Sepsis-3 criteria and an external validation cohort of 137 patients from South Korea. The dataset was created by Chicco and Jurman (2020) for a study on sepsis survival. All categorical variables have been encoded and there are no missing values.
Patient records from The Cancer Genome Atlas (TCGA) LGG and GBM projects, characterized by 20 gene mutation statuses and 3 clinical features. The dataset was created for the prediction task of classifying glioma grade as Lower-Grade Glioma or Glioblastoma Multiforme. It was funded by The Cancer Genome Atlas (TCGA) Project - NCI and authored by Tasci, E., Zhuge, Y., Kaur, H., Camphausen, K., & Krauze, A. V.
A clinical dataset derived from the MIMIC-III database, focusing on the PRESCRIPTIONS table for predicting hospital length of stay. The data was created by Alistair Johnson, Tom Pollard, and Roger Mark and is sourced from Kaggle. It includes a detailed key for interpreting the multiclass ROUTE column, which indicates drug administration methods.
MIMIC-III data from Kaggle, focusing on the PRESCRIPTIONS table for predicting hospital length of stay. The dataset was created by Alistair Johnson, Tom Pollard, and Roger Mark. The description details a comprehensive list of drug administration route abbreviations used in clinical practice.
110,204 patient admissions from a primary cohort in Norway, plus a 19,051-admission study cohort and a 137-patient validation cohort from South Korea. The dataset, created by Chicco and Jurman (2020), contains minimal clinical records for patients with sepsis-related conditions, with all categorical variables pre-encoded.
23 features characterize patient records for glioma grading, including 20 frequently mutated genes and 3 clinical demographics. The dataset was constructed from The Cancer Genome Atlas (TCGA) LGG and GBM projects by Tasci, E., Zhuge, Y., Kaur, H., Camphausen, K., & Krauze, A. V. The prediction task is to classify tumors as Lower-Grade Glioma (LGG) or Glioblastoma Multiforme (GBM).