Resources

34 results for "clinical machine learning"

Database Credentialed Access

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images

Seongsu Bae, Daeun Kyung, Jaehee Ryu, et al.

Electronic Health Records (EHRs), which contain patients' medical histories in various multi-modal formats, often overlook the potential for joint reasoning across imaging and table modalities underexplored in current EHR Question Answering (QA) sys…
question answering evaluation chest x-ray multi-modal question answering ehr question answering semantic parsing benchmark visual question answering deep learning electronic health records machine learning
Published: July 23, 2024. Version: 1.0.0
Database Credentialed Access

MIMIC-Ext-MIMIC-CXR-VQA: A Complex, Diverse, And Large-Scale Visual Question Answering Dataset for Chest X-ray Images

Seongsu Bae, Daeun Kyung, Jaehee Ryu, et al.

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…
question answering evaluation chest x-ray radiology benchmark multimodal visual question answering deep learning electronic health records machine learning
Published: July 19, 2024. Version: 1.0.0
Database Credentialed Access

AMR-UTI: Antimicrobial Resistance in Urinary Tract Infections

Michael Oberst, Soorajnath Boominathan, Helen Zhou, et al.

AMR-UTI is a freely accessible dataset, derived from electronic health record (EHR) information on over 80,000 patients with urinary tract infections (UTI) treated at Massachusetts General Hospital and Brigham & Women's Hospital in Boston, MA, USA b…
antibiotic resistance causal inference policy learning urinary tract infection antimicrobial resistance clinical decision support machine learning
Published: Nov. 4, 2020. Version: 1.0.0
Database Credentialed Access

MIMIC-III Clinical Database

Alistair Johnson, Tom Pollard, Roger Mark

MIMIC-III is a large, freely-available database comprising deidentified health-related data associated with over forty thousand patients who stayed in critical care units of the Beth Israel Deaconess Medical Center between 2001 and 2012. The databas…
clinical critical care natural language processing intensive care machine learning
Published: Sept. 4, 2016. Version: 1.4