Resources

222 results for "clinical"

Database Restricted Access

Community-Acquired Pneumonia, Endotypes and Phenotypes (NACef): Prospective, observational cohort study of Translational Medicine

Natalia Sanabria-Herrera, Esteban Garcia Gallo, Luis Felipe Reyes

Community-Acquired Pneumonia (CAP) remains a prominent infectious process associated with elevated in-hospital morbidity and mortality rates. Through the exploration of phenotypes, endotypes, and biomarkers, it becomes feasible to identify individua…
Published: Aug. 21, 2025. Version: 2.0.1
Database Restricted Access

MIMIC-IV-Ext-Apixaban-Trial-Criteria-Questions

Elizabeth Woo, Michael Craig Burkhart, Emily Alsentzer, et al.

Large-language models (LLMs) show promise for extracting information from clinical notes. Deploying these models at scale can be challenging due to high computational costs, regulatory constraints, and privacy concerns. To address these challenges, …
Published: April 30, 2025. Version: 1.0.0
Database Credentialed Access

MIMIC-III-Ext-tPatchGNN

Chenlong Yin, Weijia Zhang

This dataset is a curated subset of MIMIC-III (v1.4), specifically formatted to facilitate reproducibility of the experiments in the work t-PatchGNN. It serves as part of a benchmark designed for forecasting irregular multivariate clinical time seri…
Published: April 9, 2025. Version: 1.0.0
Database Open Access

Synthetic Mention Corpora for Disease Entity Recognition and Normalization

Kuleen Sasse, John David Osborne

Named Entity Recognition (NER) and Entity Normalization (EN) are fundamental tasks in information extraction, particularly in the biomedical and clinical domains. NER identifies textual mentions of entities, while EN maps these mentions to unique id…
Published: Feb. 3, 2025. Version: 1.0.0
Database Restricted Access

MIMIC-IV-Ext-DiReCT

Bowen Wang, Jiuyang Chang, Yiming Qian

Large language models (LLMs) have recently demonstrated remarkable capabilities across a broad spectrum of tasks and applications, including the medical field. Models like GPT-4 excel in medical question answering but encounter challenges in interpr…
Published: Jan. 21, 2025. Version: 1.0.0
Database Contributor Review

Chest Computed Tomography for patients with sepsis in the Emergency Department

Senjun Jin, Zhongheng Zhang

Sepsis is a systematic inflammatory response syndrome that can impact all vital organs. Lung is the most commonly involved organ that sepsis can cause lung injury. Lung injury can have a variety clinical presentations and can be captured by chest im…
Published: Oct. 28, 2024. Version: 1.0.0
Database Credentialed Access

RaDialog Instruct Dataset

Chantal Pellegrini, Ege Özsoy, Benjamin Busam, et al.

Conversational AI tools that can generate and discuss clinically correct radiology reports for a given medical image have the potential to transform radiology. Such a human-in-the-loop radiology assistant could facilitate a collaborative diagnostic …
Published: July 12, 2024. Version: 1.1.0
Database Contributor Review

CARMEN-I: A resource of anonymized electronic health records in Spanish and Catalan for training and testing NLP tools

Eulalia Farre Maduell, Salvador Lima-Lopez, Santiago Andres Frid, et al.

The CARMEN-I corpus comprises 2,000 clinical records, encompassing discharge letters, referrals, and radiology reports from Hospital Clínic of Barcelona between March 2020 and March 2022. These reports, primarily in Spanish with some Catalan section…
Published: April 20, 2024. Version: 1.0.1
Challenge Open Access

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022

Matthew Reyna, Yashar Kiarashi, Andoni Elola, et al.

Congenital heart diseases affect about 1% of newborns, representing an important morbidity and mortality factor for several severe conditions, including advanced heart failure [1]. In a 2019 survey, it was estimated that congenital heart diseases af…
Published: Sept. 28, 2023. Version: 1.0.0
Database Open Access

Facial and oral temperature data from a large set of human subject volunteers

Quanzeng Wang, Yangling Zhou, Pejman Ghassemi, et al.

To evaluate the benefit of implementing standardized deployment and acquisition practices in the measurement of elevated body temperature (EBT) with infrared thermographs (IRTs), we conducted a clinical study with more than one thousand subjects.  S…
Published: May 24, 2023. Version: 1.0.0