Loading...
Loading...
Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,847 datasets
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.
SHADR is a dataset for evaluating large language models in extracting Social Determinants of Health from free-text electronic health records. It was created by author m720 and uploaded to Hugging Face in December 2023. The dataset includes human annotations on SDoH information found in clinical narratives.
Development plans for the Kehrweg area in Plütscheid, part of the Association Municipality of Arzfeld. The dataset is provided by the Bundesamt für Kartographie und Geodäsie and was last updated on November 28, 2023. It is available as a Web Map Service (WMS) layer.
FacetSum contains over 60,000 summaries for long scientific documents, structured for faceted summarization research. The dataset was introduced in an ACL 2021 paper and is intended for non-commercial research use.
Cumulative healthcare facility-reported fatalities for patients with lab-confirmed COVID-19 disease, aggregated by reporting date and patient sex. The data was collected daily via the New York State Department of Health's HERDS survey from hospitals, nursing homes, and adult care facilities, with reporting starting in March 2020. The dataset was archived on October 6, 2023, after being retired from the HERDS system.
New York State's dataset provides the cumulative number and percent of fatalities among patients with lab-confirmed COVID-19, reported by healthcare facilities. Data is sourced from the NYS Department of Health's HERDS system, with daily reporting from hospitals, nursing homes, and adult care facilities starting in March and April 2020. The dataset was archived on October 6, 2023.
Hospitalization data for lab-confirmed COVID-19 patients, collected daily via the New York State Department of Health HERDS survey from mid-March 2020. The dataset was archived on October 6, 2023, with statewide data available in a separate resource. It includes counts of total patients hospitalized and in the ICU, aggregated by hospital region and reporting date.
A dataset of disease symptoms, described as 'extensive' and 'clean' in its title. It was uploaded to the Hugging Face platform by user dhivyeshrk and last updated on January 6, 2024. The specific contents, scale, and source of the data are not detailed in the available metadata.
Zip Code-level data on patients admitted for inpatient care who were lab-confirmed COVID-19 positive, available from May 2, 2020. The dataset was archived on October 6, 2023, after being retired from the Hospital Electronic Response Data System (HERDS). It was published by health.data.ny.gov.
NOHSS Child Indicators contain state-level oral health survey data for third-grade students and other school-aged children from 1994 through 2020. The Association of State and Territorial Dental Directors (ASTDD) collects and reviews voluntary state submissions before inclusion in CDC's Oral Health Data system. Data includes indicators on caries experience, untreated tooth decay, and dental sealants.
1,500 question-answer pairs related to dermatology, compiled by Mreeb and last updated in November 2023. The dataset likely contains inquiries about skin diseases, symptoms, medications, and treatment modalities, intended for fine-tuning language models.
Images of human tissue slides, some containing cancer, sourced from the NCT biobank and the UMM pathology archive. The dataset includes tissues from different parts of the body, organized into 9 classes. The dataset was created by Owkin and last updated on October 26, 2023.
National data from the CDC's National ART Surveillance System (NASS) provides a snapshot of services, patient characteristics, and success rates for assisted reproductive technology across U.S. fertility clinics for the year 2020. The dataset includes clinic profiles, patient demographics, and cycle outcomes, linked by a unique ClinicID. It was published by data.cdc.gov and last updated in August 2023.
yfyeung's dataset comprises 272 simulated medical conversation audio files in mp3 format and their corresponding text transcripts. The dataset focuses on respiratory cases and was published in a Nature Scientific Data paper in 2022. The dataset was last updated on the Hugging Face platform on 2023-11-10.
2002-2010 county-level prevalence data for behavioral risk factors from the CDC's Behavioral Risk Factor Surveillance System (BRFSS). The dataset includes estimates for selected metropolitan area counties with at least 500 survey respondents, compiled by the Centers for Disease Control and Prevention (CDC). It covers topics like modifiable risk factors for chronic diseases and leading causes of death.
The Behavioral Risk Factor Surveillance System (BRFSS) SMART project provides county-level prevalence data for selected metropolitan areas from 2011 to 2012. Data is collected via a continuous state-based surveillance system combining landline and cell phone surveys, focusing on modifiable risk factors for chronic diseases. The dataset is hosted by data.cdc.gov and was last updated in August 2023.
2020 final success rates for Assisted Reproductive Technology cycles are reported by the National ART Surveillance System. Data includes cumulative success rates for patients using their own eggs and non-cumulative rates for donor egg cycles, linked across four datasets by a unique ClinicID. The data was published by data.cdc.gov and last updated in August 2023.
2020 data from the National ART Surveillance System provides an overview of clinic services, contact information, and summary statistics for fertility clinics across the United States. The dataset includes four linked components covering services, patient characteristics, success rates, and annual summaries, all connectable by a unique ClinicID. It is published by data.cdc.gov and was last updated in August 2023.
Daily records from the beginning of the pandemic through at least June 2022 provide COVID-19 metrics for Connecticut. The dataset includes confirmed and probable cases and deaths, hospitalizations, and tests, broken down by age group and date. It is published by the Connecticut Department of Public Health on data.ct.gov.