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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,812 datasets
Car diagnostics information is included in this dataset. The dataset was published by Balaji576 on the Hugging Face platform and last updated on March 10, 2024. The specific content, scale, and features require verification after download.
Over 75,000 open access and de-identified medical case reports compiled by mauro-nievoff, last updated in January 2024. The dataset includes metadata, clinical case text, image captions, and more than 130,000 images across specialties like oncology, cardiology, surgery, and pathology. Its structure allows mapping images to corresponding article metadata, clinical cases, captions, and labels.
A large-scale dataset for Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the medical domain. Patients are synthesized using a proprietary medical knowledge base and a commercial rule-based AD system, characterized by socio-demographic data, a pathology, and related symptoms and antecedents. The dataset was released by aai530-group6 on Hugging Face in January 2024.
Ddxplus French is a large-scale dataset for Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems, released under a CC-BY license. The dataset contains patients synthesized using a proprietary medical knowledge base and a commercial rule-based AD system. It was created by aai530-group6 and last updated on 2024-01-22.
Local health boards in Wales are defined by three text fields: LHB23CD, LHB23NM, and LHB23NMW. This dataset, provided by the Government Digital Service, contains the official names and codes for these administrative units as of 31st December 2023. The data is available in multiple formats, including CSV and GEOJSON.
Field data from 2019 and 2020 documents leaf chemistry and herbivore damage on European beech trees with and without premature drought-induced defoliation. The dataset includes measurements of primary and specialized metabolites, leaf damage from multiple herbivore feeding guilds, and crown health assessments. ENVIDAT published the analyzed data in 2024.
603 English medical consultations and a Chinese dialogue collection documenting patient-doctor interactions regarding COVID-19 and pneumonia. The data records specific patient concerns about infection and the subsequent professional advice provided by medical practitioners.
A dataset of diagnostic reasoning prompts extracted from the New England Journal of Medicine (NEJM). It was created by the authors of the article 'Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine' and uploaded to Hugging Face in January 2024. The data likely contains prompts designed to test and interpret the reasoning of large language models in a medical context.
A dataset titled 'Medical Data' was uploaded to Hugging Face by author lakshmikarpolam. Platform tags suggest it contains image and text data related to clinical and healthcare domains. The dataset was last updated on March 2, 2024.
Medical Qa Mistral7B Finetuning is a dataset for fine-tuning large language models on medical question-answering tasks. It was published on the Hugging Face platform by user bala1524 and was last updated on February 21, 2024. The specific content, size, and structure of the dataset require verification after download.
New York State tracks unplanned readmissions for Medicaid members with mental illness diagnoses to monitor its shift to managed care. The dataset contains annual and quarterly readmission rates at 30 and 90 days, grouped by region and coverage category. It is published by data.ny.gov and covers the period from 2014 through 2021.
2014-2021 data tracks the percentage of Medicaid members aged 6-64 who received follow-up mental health care within 30 days after an inpatient discharge. The dataset, published by data.ny.gov, contains performance measures developed by the New York State Office of Mental Health to monitor the transition of behavioral health services into managed care.
2014-2021 data tracks outpatient follow-up rates for Medicaid members aged 6-64 after inpatient mental health stays. It contains percentages for follow-up visits within 7 and 30 days of discharge, organized by year, quarter, region, and age group. The dataset was published by data.ny.gov to monitor New York State's transition to managed behavioral healthcare.
A dataset from the eu_open_data platform, last updated on 2024-01 04, provides information on medical immunobiological preparations in the Ivano-Frankivsk region of Ukraine. It likely contains details on distribution, use, release form, trade name, institution name, and quantity. The data is provided by the States site of Ukraine.
Newly diagnosed HIV Cases and Rate Per 100,000 are detailed for the years 2017-2022. The data is hosted by performance.fultoncountyga.gov and was last updated in December 2023. Columns suggest annual counts and rates for specific locations.
ICD10-Clinical-Terminology is a dataset for demonstrating fast search using pyarrow, uploaded by awacke1 to Hugging Face. It was last updated on 2024-01-31. The dataset likely contains clinical terminology codes from the ICD-10 classification system.
A dataset for medical question answering, converted from MedQuAD. It contains English medical questions and answers with UMLS (Unified Medical Language System) annotations, including concept identifiers and semantic types. The dataset excludes 31,034 records from specific sources to respect copyright.
Featuring text from mental health counseling conversations, converted from the Amod/mental_health_counseling_conversations dataset for pretraining use. The data consists of processed conversational responses in English.
Data on medical equipment of municipal health care institutions of Okhtyrka City Council lists medical equipment in accordance with inventory descriptions of fixed assets. The dataset is provided by the States site of Ukraine and was last updated on 2024-01 03 14:14:09.346464.
6,584 clinical images categorized into 198 distinct dermatological disease classes, including eczema, acne, and various skin cancers. The dataset provides a granular classification of skin conditions for medical imaging research.