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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,812 datasets
A full MEDLINE (Ovid), EMBASE (Ovid), PsycInfo (Ovid), CINAHL (EBSCO), and Cochrane Trials search strategy for digital mental health topics. The search strategies were conducted on May 26, 2022, and are provided by Jill Boruff via the Borealis Harvested Dataverse platform.
MEDLINE, EMBASE, PsycInfo, EBM Reviews, and CINAHL search strategies compiled for a systematic review on patient care experience in pediatric emergency departments. The dataset, authored by Lê, Mê-Linh, was last updated on February 29, 2024. It contains the full query strings used to retrieve relevant literature from these major biomedical databases.
Over 276,000 conversational instruction-response pairs for medical question answering, primarily in Chinese. The dataset was created by author shibing624 by converting and merging two HuatuoGPT fine-tuning datasets into a ShareGPT format. It was last updated on the Hugging Face platform in January 2024.
Government Digital Service provides a lookup file mapping unitary authorities to local health boards in Wales as of 31 December 2023. The dataset includes four text fields with specified maximum lengths. It is available in multiple formats including CSV and GEOJSON.
30,000 triplets combine real clinical notes from PMC-Patients case studies, synthetic patient-doctor dialogues generated by GPT 3.5, and structured patient information. The dataset was created by AGBonnet and last updated on 2024-01-24.
Approximately 10,000 images generated by the Midjourney V5 and V6 AI models. The dataset is provided as a zip file and was uploaded to Hugging Face by ehristoforu. It was last updated on February 11, 2024.
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.