Resources
Database Credentialed Federated
Symile-MIMIC: a multimodal clinical dataset of chest X-rays, electrocardiograms, and blood labs from MIMIC-IV
Symile-MIMIC is a multimodal clinical dataset derived from MIMIC-IV and MIMIC-CXR, consisting of chest X-rays (CXRs), electrocardiograms (ECGs), and blood laboratory tests. It was developed to evaluate Symile, a contrastive learning objective design…
contrastive learning model cxr multimodal chest x-ray mimic ecg electrocardiogram database
Published: Jan. 28, 2025. Version: 1.0.0 | DOI: 10.13026/3vvj-s428
Database Open Federated
CGMacros: a scientific dataset for personalized nutrition and diet monitoring
We present CGMacros, a dataset containing multimodal information from two continuous glucose monitors (CGM), food macronutrients, food photographs, and physical activity, in addition to anonymized participant demographics, anthropometric measurement…
diabetes continuous glucose monitors obesity machine learning postprandial glucose response food macronutrients metabolic models food photographs personalized nutrition
Published: Jan. 28, 2025. Version: 1.0.0 | DOI: 10.13026/3z8q-x658
Database Credentialed Federated
LLaVA-Rad MIMIC-CXR Annotations
LLaVA-Rad MIMIC-CXR features more accurate section extractions from MIMIC-CXR free-text radiology reports. Traditionally, rule-based methods were used to extract sections such as the reason for exam, findings, and impression. However, these approach…
Published: Jan. 24, 2025. Version: 1.0.0 | DOI: 10.13026/4ma4-k740
Database Contributor Review Federated
COVID Data for Shared Learning (CDSL): A comprehensive, multimodal COVID-19 dataset from HM Hospitales
COVID Data for Shared Learning (CDSL) is a multimodal database comprising de-identified medical data from 4,479 patients who were hospitalized with confirmed or suspected COVID-19 in the Spanish 'HM Hospitales' group from 2019-12-26 to 2021-…
multimodal database covid-19 radiological images open data healthcare data machine learning and ai
Published: Oct. 25, 2024. Version: 1.0.0 | DOI: 10.13026/1176-6c44
Database Contributor Review Federated
A multimodal dental dataset facilitating machine learning research and clinic services
Oral diseases affect nearly 3.5 billion people, with the majority residing in low- and middle-income countries. Due to limited healthcare resources, many individuals are unable to access proper oral healthcare services. Image-based machine learning …
Published: Oct. 11, 2024. Version: 1.1.0 | DOI: 10.13026/h1tt-fc69
Database Credentialed Federated
MIMIC-IV-Ext-MDS-ED: Multimodal Decision Support in the Emergency Department - a Benchmark Dataset for Diagnoses and Deterioration Prediction in Emergency Medicine
Measurable progress in the development of medical decision support systems has been hindered by a lack of comprehensive datasets. Many available datasets focus on narrow prediction tasks and do not include a diverse range of data types, which limits…
multimodal emergency department benchmark diagnoses prediction ecg deterioration prediction
Published: Sept. 12, 2024. Version: 1.0.0 | DOI: 10.13026/p90d-vd84
Database Open Federated
Image-derived cardiomegaly biomarker values for 96K chest X-rays in MIMIC-CXR/MIMIC-CXR-JPG
Cardiomegaly is a condition characterized by an abnormal enlargement of the heart, its identification is of paramount importance as it associate with a wide range of cardiac conditions. It is primary identified via the cardiothoracic ratio (CTR), ho…
cpar biomarkers ctr mimic-cxr cardiomegaly
Published: Aug. 23, 2024. Version: 1.0.0 | DOI: 10.13026/kfpv-zm25
Database Restricted Federated
Multimodal Physiological Indices During Surgery Under Anesthesia
Monitoring nociception, the flow of information associated with harmful stimuli through the nervous system even during unconsciousness, is critical for proper anesthesia care during surgery. Currently, this is done by tracking heart rate and blood p…
nociception anesthesia
Published: Aug. 23, 2024. Version: 1.0 | DOI: 10.13026/gs4v-4q80
Database Credentialed Federated
MIMIC-Ext-MIMIC-CXR-VQA: A Complex, Diverse, And Large-Scale Visual Question Answering Dataset for Chest X-ray Images
We introduce MIMIC-Ext-MIMIC-CXR-VQA (i.e., Extended from MIMIC database), a complex, diverse, and large-scale dataset designed for Visual Question Answering (VQA) tasks within the medical domain, focusing primarily on chest radiographs. This datase…
multimodal question answering radiology machine learning deep learning electronic health records evaluation benchmark chest x-ray visual question answering
Published: July 19, 2024. Version: 1.0.0 | DOI: 10.13026/deqx-d943
Database Open Federated
ScientISST MOVE: Annotated Wearable Multimodal Biosignals recorded during Everyday Life Activities in Naturalistic Environments
Existing datasets containing physiological data are mostly acquired at rest or in controlled scenarios. As a result, algorithms developed using such data may not perform as well as with biosignals acquired in dynamic and uncontrolled environments. S…
greet wearable multimodal lift uncontrolled environments run jump gesticulate walk
Published: March 26, 2024. Version: 1.0.1 | DOI: 10.13026/hyxq-r919