Resources
41 results for "structured clinical datasets"
Database
Contributor Review
BRATECA (Brazilian Tertiary Care Dataset): a Clinical Information Dataset for the Portuguese Language
Computational medicine research requires clinical data for training and testing purposes, so the development of datasets composed of real hospital data is of utmost importance in this field. Most such data collections are in the English language, we…
Database
Credentialed Access
MIMIC-IV-Ext-BHC: Labeled Clinical Notes Dataset for Hospital Course Summarization
This dataset presents a curated collection of preprocessed and labeled clinical notes derived from the MIMIC-IV-Note database. The primary aim of this resource is to facilitate the development and training of machine learning models focused on summa…
Database
Credentialed Access
DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries
Electronic Health Records (EHR) contain patient records, stored in structured tables as well as unstructured clinical notes. The information in structured and unstructured EHR records is not strictly disjoint: information may be duplicated, contradi…
Database
Credentialed Access
EHR-ReasonCon: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records
Electronic Health Records (EHRs) combine structured data, such as medications and laboratory measurements, with unstructured clinical notes describing patient conditions and clinical events. Although these two data types provide complementary inform…
Database
Credentialed Access
MIMIC-IV-Ext MIMIC Note Extract: A Large-Scale Structured Dataset Extracted from MIMIC-IV-Note Discharge Summaries
MIMIC is one of the most widely used public hospital datasets for machine learning on electronic health records [3], but its structured tables answer many clinical questions only through coded surrogates, or not at all. For example, a patient's past…
Database
Contributor Review
ER-REASON: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room
The ER-Reason dataset is a benchmark designed to evaluate LLM-based clinical reasoning and decision-making in the emergency room (ER), a high-stakes setting where clinicians make rapid, consequential decisions across diverse patient presentations an…
Database
Restricted Access
EchoNext: A Dataset for Detecting Echocardiogram-Confirmed Structural Heart Disease from ECGs
This dataset contains a de-identified collection of 100,000 12-lead electrocardiograms (ECGs) with paired structural heart disease (SHD) labels derived from echocardiography, collected at Columbia University Irving Medical Center. Each ECG is provid…
clinical decision support
digital health
structural heart disease
heart failure
transthoracic echocardiogram
ai model deployment
valvular heart disease
cardiovascular screening
ai in healthcare
left ventricular dysfunction
population health
aortic stenosis
health equity
deep learning
electrocardiogram
ecg
machine learning
artificial intelligence
Software
Credentialed Access
Code for generating the HAIM multimodal dataset of MIMIC-IV clinical data and x-rays
A multimodal combination of the MIMIC-IV v1.0.0 and MIMIC Chest X-ray (MIMIC-CXR-JPG) v2.0.0 databases filtered to only include patients that have at least one chest X-ray performed with the goal of validating multi-modal predictive analytics in hea…
Database
Contributor Review
Medical Information Mart for Intensive Care Brazil (MIMIC-BR): a Brazilian Dataset of Anonymized Hospital and ICU Clinical Data
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…
Database
Credentialed Access
MIMIC-III-Ext-MIMIC-Patient: Structured Per-Patient JSON Records for Clinical Question Answering
This project provides MIMIC-Patient, a structured, per-patient representation of the MIMIC-III database designed for large language model (LLM)–based clinical question answering. For each of 500 admissions, we reconstruct the patient’s episode into …