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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,165 datasets
This dataset examines the psychological impact of first-time childbirth on parents, with a focus on age heterogeneity. The data is provided by author Bo Zhu and was last updated in March 2026. It is shared under a CC BY 4.0 license.
A 5.5 KB dataset by Bo Zhu, updated in March 2026, examines the psychological impact of a first child on parents. It employs an instrumental variable approach for social science research. The specific row count and column features are not provided in the input.
A 5.5 KB dataset examines the psychological impact of first-time parenthood. It was authored by Bo Zhu and last updated in March 2026. The dataset is licensed under CC BY 4.0 and focuses on pressures, life goals, and well-being associated with this transition.
9.5 KB dataset from a study evaluating differences between reported health status and healthcare access. The data was collected by Yazan A. Al-Ajlouni using a validated questionnaire and includes tags related to specialist care, digital health integration, and logistical challenges. It was last updated in March 2026.
A 9.5 KB dataset examining differences in healthcare access based on employment status. The data was collected by author Yazan A. Al-Ajlouni using a validated questionnaire and was last updated in March 2026. It includes survey items related to specialist care, digital health integration, and reported health status.
Yazan A. Al-Ajlouni's dataset examines differences in healthcare access based on marital status. It contains data from a validated questionnaire, with specific tags indicating analysis of specialist care, digital health integration, and logistical challenges. The dataset is small at 9.5 KB and was last updated in March 2026.
A 13.5 KB XLS file containing data on patient characteristics, stratified by age. The dataset was authored by Mitsutaka Yakabe and last updated in March 2026. Specific row and column counts are not provided.
Patient characteristics are stratified by place of death. The dataset was authored by Mitsutaka Yakabe and is available under a CC BY 4.0 license. It is a small dataset of 9.5 KB in XLS format.
Kenichi Fudeyasu's dataset contains logistic regression analysis results for impaired Single Leg Stance Test (SLST) performance among 118 patients with Chronic Liver Disease (CLD) and Diabetes Mellitus (DM). The data is stored in an XLS file and focuses on factors associated with SLST scores below 5 seconds. It is a small, specialized dataset for clinical research.
Kenichi Fudeyasu's dataset compares body composition and physical function between patients with and without diabetes mellitus in a cohort of 152 individuals with chronic liver disease. The data is provided in an Excel file and is licensed under CC BY 4.0. It includes features related to Diabetes mellitus, Body Composition, and Physical Function.
152 patient records compare background characteristics between individuals with and without diabetes mellitus (DM) among a population diagnosed with chronic liver disease (CLD). The dataset was authored by Kenichi Fudeyasu and is available under a CC BY 4.0 license. It is provided in an XLS format and was last updated in March 2026.
152 patient records from a clinical study, shared by author Kenichi Fudeyasu under a CC BY 4.0 license. The dataset is a small, focused collection of patient characteristics, last updated in March 2026.
A dataset from figshare, last updated March 17, 2026, detailing the distribution of Gram-negative pathogens isolated from blood and bile samples in patients with acute cholangitis. The dataset was authored by Phoomjai Sornsenee and is available as a 5.5 KB Excel file under a CC-BY-4.0 license.
A 178 MB dataset of in vivo confocal microscopy images for corneal disease analysis. It contains pixel-level expert annotations for multiple diseases, supporting machine learning model development. The dataset is the official repository for a corresponding research paper.
Downstream datasets for the CVPR 2026 Foundation Models for General CT Image Diagnosis competition. The collection includes CT scans for lung cancer and COVID-19 detection, as referenced in published biomedical signal processing research. It was uploaded by author kmin06 in March 2026.
OCTDL Real 5-Fold Patient Split is a dataset from Kaggle. The title suggests it contains Optical Coherence Tomography (OCT) images organized for machine learning, likely with a predefined cross-validation split based on patient identity to prevent data leakage. The dataset's author, organization, size, and specific contents are not provided in the metadata.
Health Fitness is a dataset published on Kaggle. Its specific content and scope must be inferred from the title, as detailed metadata is unavailable. The dataset likely contains information related to personal health metrics or fitness activities.
A collection of retinal fundus images likely intended for automated medical grading tasks. The dataset is hosted on Kaggle, but its specific size, origin, and annotation details are not provided in the available metadata. Further details about the collection methodology and data characteristics require verification after download.
A dataset related to dermatology and the RAGAS framework. It was published on Kaggle. The specific content, size, and provenance details are unknown from the provided metadata.
A dataset of electrocardiogram (ECG) images published on Kaggle. The specific number of images, collection method, and author are unknown. Metadata is minimal; actual content requires verification after download.