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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,510 datasets
A report authored by Louis Appleby reviewing the progress and achievements made in the five years following the implementation of the National Service Framework for Mental Health. The document is sourced from the paperswithcode platform and is licensed as closed. The dataset likely contains textual analysis of policy outcomes and service delivery.
Healthcare Resource & Patient Outcome Analysis is a dataset hosted on Kaggle. Its title suggests it contains data related to healthcare system resources and associated patient health results. The specific content, scale, and origin require verification after download.
Patient data related to breast cancer, sourced from the Kaggle platform. The dataset's specific features, size, and collection methodology are not detailed in the provided metadata. Its content and suitability for analysis require verification after download.
A collection of chest X-ray images, likely sourced from the National Institutes of Health. The dataset has undergone preprocessing, though the specific methods and scale are not detailed in the available metadata. It was published on the Kaggle platform.
A dataset titled 'Vehicle Health Monitoring' is hosted on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Its title suggests it likely contains sensor or diagnostic readings related to automotive systems.
A dataset for predicting human diseases, published on Kaggle. The dataset's specific features, size, and collection methodology are not detailed in the provided metadata. Its content and suitability for modeling must be verified after download.
A combined dataset of wheat disease images, likely for agricultural computer vision tasks. The dataset is hosted on Kaggle, but specific details on volume, collection method, and authorship are not provided in the metadata. Users must download the dataset to verify its exact composition, scale, and labeling.
HiXray_not_augmented is a dataset of chest X-ray images published on Kaggle. The dataset likely contains medical images for analysis, but specific details on volume, source, and creation date are unavailable. Metadata is minimal; actual content requires verification after download.
ECG K-fold indices likely contain partitioning information for electrocardiogram signal datasets. The dataset is hosted on Kaggle, but its specific size, origin, and update date are unknown. Columns suggest it may contain indices or labels for dividing ECG data into training and validation folds.
Electrocardiogram signals likely sourced from the PhysioNet repository. The dataset is hosted on Kaggle, but its specific size, collection period, and original authors are unknown. Columns suggest it contains time-series data representing cardiac electrical activity.
Kaggle hosts a dataset titled 'Medical_Diagnostic_Reports'. The content likely contains textual records of medical diagnoses. The dataset's author, organization, and temporal coverage are unknown.
Kaggle hosts a dataset titled 'mental-health-data'. The dataset likely contains information related to mental health conditions, assessments, or patient records. Its specific content, size, and origin are unknown from the provided metadata.
Split_Che_Xray is a dataset of chest X-ray images published on Kaggle. The dataset's specific contents, scale, and origin are not detailed in the available metadata. Further details about the collection method, time range, and specific annotations require verification after download.
A dataset of electrocardiogram (ECG) images and associated descriptions, published on Kaggle. The dataset likely contains visual representations of heart rhythms paired with textual or categorical labels. Specific details on the number of images, collection methodology, and temporal coverage are not provided in the available metadata.
California statewide and county-level data tracks hospitalization counts and rates for 10 ambulatory care sensitive conditions and 4 composite measures. The dataset, provided by the State of California, is used to assess community health service quality by monitoring potentially preventable admissions for conditions like diabetes complications, COPD, and heart failure. It includes notes on a 2015 ICD code transition affecting data comparability.
2015-2016 data from California provides hospitalization counts and rates for 4 specific conditions and 3 composite measures among patients under 18 years old. The dataset, from the State of California's Department of Health Care Access and Information, is used to assess community health service quality. It distinguishes between ICD-9-CM and ICD-10-CM diagnostic codes starting in 2016.
A dataset titled 'Bengali Clinical Math Reasoning Wave 1 – Batch 10' is hosted on Kaggle. The title suggests it contains mathematical reasoning problems set in clinical or medical contexts, written in the Bengali language. The dataset's specific size, creator, and update date are not provided in the available metadata.
Bengali Neuro + Cardio Critical Medical Math1.5 is a dataset hosted on Kaggle. Its title suggests it contains medical data related to neurological and cardiovascular critical care, potentially involving mathematical calculations or metrics. The dataset's specific content, size, and origin require verification after download.
Bengali Critical Care Clinical Math Reasoning –1.1 is a dataset hosted on Kaggle. The title suggests it contains clinical math reasoning problems in the Bengali language, likely related to critical care medicine. The dataset's specific content, size, and origin require verification after download.
A dataset of medical math reasoning problems in the Bengali language, likely focused on emergency and intensive care unit scenarios. It is hosted on Kaggle, but details on the number of problems, creation date, and author are not provided in the metadata. The content appears to be textual, involving mathematical calculations within a clinical context.