Loading...
Loading...
Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,208 datasets
Batch10_ECG is a dataset of electrocardiogram (ECG) signals published on Kaggle. The dataset's specific size, collection method, and origin are not detailed in the provided metadata. Its content and structure require verification after download.
batch12_ecg is a dataset of electrocardiogram signals published on Kaggle. The dataset's specific size, collection method, and origin are not detailed in the available metadata. Its content and structure require verification after download.
Batch11 ECG is a dataset of electrocardiogram signals published on Kaggle. The specific number of records, collection methodology, and author are unknown. Metadata is minimal; actual content requires verification after download.
Kaggle hosts a dataset titled 'batch13_ecg'. The title suggests it contains electrocardiogram (ECG) signal data, likely in a batch format. The author, organization, and specific collection details are unknown.
Batch14 ECG is a dataset of electrocardiogram signals, likely containing time-series voltage recordings. It is hosted on Kaggle, but its specific collection method, author, and temporal coverage are unknown. The dataset's size, exact content, and licensing details require verification after download.
Batch15 ECG likely contains a collection of electrocardiogram recordings. The dataset is published on Kaggle, but its specific size, origin, and creation date are unknown. Columns suggest it includes time-series signal data for cardiac activity.
Batch16 ECG is an electrocardiogram dataset published on Kaggle. The dataset's specific size, collection method, and time range are unknown. Its author and organization are also not specified.
A collection of electrocardiogram (ECG) signals, likely from a batch processing or research context. The dataset is hosted on Kaggle, but its specific origin, size, and collection period are unknown. Columns and sample data are unavailable for review.
Batch18_ecg is an electrocardiogram dataset published on Kaggle. The dataset's specific size, collection methodology, and authorship details are not provided in the available metadata. Its title suggests it contains time-series data of heart electrical activity.
A dataset titled 'healthcare-fraud-detection-ml' published on Kaggle. The title suggests it contains data related to healthcare transactions or claims for the purpose of fraud detection modeling. Specific details on volume, origin, and features are unavailable from the provided metadata.
18 focus group discussions involving 102 women aged 18-49 were conducted between November 2024 and September 2025 to develop patient-reported outcome measures (PROMs) for contraceptive-induced menstrual changes. Amelia Mackenzie led this qualitative study across three international sites in the United States, Dominican Republic, and South Africa with funding from the Gates Foundation. The data captures specific terminology and experiences used by participants to describe menstrual alterations resulting from contraceptive use.
193 fetal MRI T2 reconstructions covering gestational ages 20 to 38 weeks, developed by researchers at Boston Children’s Hospital and Harvard Medical School. The data, updated in March 2026, consists of intensity-corrected images registered to atlas space derived from multiple T2-weighted stacks.
An open-sourced dataset for X-ray-guided miniature medical devices (MMD) introduced by luoyeguigenno1. It is organized into two domains, real and synthetic, with the real domain comprising two subsets and a third synthetic subset. The dataset was last updated on 2026-02-23.
FINAL_ECG_BANAUNU_KOLAGI_IDM_200_LENGTH_RR_ECG_NPY is a dataset of ECG signals published on Kaggle. The title suggests it contains RR interval data and ECG waveforms, likely stored in NumPy array format. The specific collection method, author, and temporal coverage are unknown.
IDRiD is a clinically curated dataset of fundus images preserving native resolution and raw intensity. The dataset includes images graded for diabetic retinopathy severity levels from DR 0 to DR 4. The collection is hosted on Kaggle.
An optimized dataset of skin lesion images from the ISIC archive intended for training models on specific skin cancer detection. The dataset appears to be curated for machine learning applications, focusing on melanoma. Specific details on size, collection dates, and original source are not provided in the input.
A labeled dataset for Turkish medical text, published on HuggingFace by author adeltlb. The dataset was last updated on 2026-04-05. The specific content, size, and labeling schema require verification after download.
UCI Heart Disease Data is a classic medical dataset from the UCI Machine Learning Repository, now hosted on Kaggle. It likely contains patient records with attributes for predicting the presence of heart disease. The specific number of records, features, and collection details are not provided in the minimal metadata.
A dataset on student mental health, sourced from Kaggle. The specific collection method, time range, and author are unknown. The dataset likely contains survey or assessment records related to psychological wellbeing.
1268 fundus eye images, each paired with 49 OCT scans, 16 biomarkers, 3 clinical labels, and a DR/DME diagnosis. The dataset contains data from 96 eyes tracked over at least two years, with each eye receiving an average of 66 weeks of treatment and 7 injections. It was introduced by Mohit Prabhushankar of the Georgia Institute of Technology to research relationships between clinical labels, biomarkers, fundus images, and OCT scans.