Resources

Medical Information Mart for Intensive Care Brazil (MIMIC-BR) is a database of anonymized clinical data from ICU and hospital admissions in Brazil. The dataset format and intended use match the original large, freely available database comprising de…

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, …

Wearable technology has progressed significantly so that today's smartwatches are able to offer advanced health monitoring functions such as electrocardiogram (ECG). This study contains data that can be used to clinically assess the accuracy of four…

Maintaining a healthy population is essential for improving quality of life and overall societal well-being. One approach to achieving a healthy population is by improving patients' care pathways. This is particularly vital for patients with multipl…

Criteria to identify patients who are ready to be liberated from mechanical ventilation are imprecise, often resulting in prolonged mechanical ventilation or reintubation, both of which are associated with adverse outcomes. We sought to determine wh…

Social determinants of health (SDoH) have an important impact on patient outcomes but are incompletely collected from the electronic health records (EHR). This study researched the ability of large language models to extract SDoH from free text in E…

Existing question answering (QA) datasets derived from electronic health records (EHR) are artificially generated and consequently fail to capture realistic physician information needs. We present Discharge Summary Clinical Questions (DiSCQ), a newl…

State of the art models using deep neural networks have become very good in learning an accurate mapping from inputs to outputs. However, they still lack generalization capabilities in conditions that differ from the ones encountered during training…

MIMIC-III is a large, freely-available database comprising deidentified health-related data associated with over 40,000 patients who stayed in critical care units of the Beth Israel Deaconess Medical Center between 2001 and 2012 [1]. The MIMIC-III C…

This project focuses on Task 2 of the 2014 ShARe/CLEF eHealth evaluation lab, which extended Task 1 of the 2013 ShARe/CLEF eHealth evaluation lab by focusing on identification and normalization of disorder attributes. The task comprises two subtasks…