Resources
67 results for "mimic-iv"
Database
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MIMIC-IV-Ext-DiReCT
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…
Database
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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…
Database
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Annotated MIMIC-IV discharge summaries for a study on deidentification of names
We introduce a dataset of people’s names and clinical note templates to support research on the demographic bias of de-identification systems. The dataset contains 16 name sets that vary along four demographic dimensions: gender, race, name populari…
Challenge
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MIT Critical Datathon 2023: a MIMIC-IV Derived Dataset for Pulse Oximetry Correction Models
Pulse oximeters are medical devices used to assess peripheral arterial oxygen saturation ( S p O 2 SpO_2 ) noninvasively. In contrast, the "gold standard" requires arterial blood to be drawn to measure the arterial oxygen saturation ( S a O…
Database
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MIMIC-III Clinical Database CareVue subset
MIMIC-III is a database of critically ill patients admitted to an intensive care unit (ICU) at the Beth Israel Deaconess Medical Center (BIDMC) in Boston, MA. MIMIC-III has seen broad use, and was updated with the release of MIMIC-IV. MIMIC-IV conta…
Database
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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…
Database
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Medical Expert Annotations of Unsupported Facts in Doctor-Written and LLM-Generated Patient Summaries
Large language models in healthcare can generate informative patient summaries while reducing the documentation workload of healthcare professionals. However, these models are prone to producing hallucinations, that is, generating unsupported inform…
Database
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MIMIC-Eye: Integrating MIMIC Datasets with REFLACX and Eye Gaze for Multimodal Deep Learning Applications
Deep learning technologies have been widely adopted in medical imaging due to their ability to extract features from images and make accurate diagnoses automatically. Medical imaging technologies are particularly useful because they can be trained t…
Challenge
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Discharge Me: BioNLP ACL'24 Shared Task on Streamlining Discharge Documentation
"Discharge Me!", part of the BioNLP workshop co-located with ACL 2024, seeks to alleviate the significant burden on clinicians who dedicate substantial time to crafting detailed discharge notes in the EHR. Participants in the task will explore appro…
Database
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MIMIC-Ext-SynNotes: Large-Scale Synthetic Clinical Notes via Rephrasing MIMIC-III/IV with LLMs
MIMIC-III and MIMIC-IV are foundational resources for clinical NLP, but their scale is modest relative to the data volumes needed to train language models. Building on recent advances in synthetic data generation through LLM-based rephrasing, we con…