Resources
10 results for "mortality prediction"
Challenge
Restricted Access
WiDS (Women in Data Science) Datathon 2020: ICU Mortality Prediction
WiDS (Women in Data Science) Datathon 2020: ICU Mortality Prediction focuses on patient health through data from MIT’s GOSSIS (Global Open Source Severity of Illness Score) initiative. Brought to you by the Global WiDS team, the West Big Data Innova…
Challenge
Open Access
Predicting Mortality of ICU Patients: The PhysioNet/Computing in Cardiology Challenge 2012
The focus of the PhysioNet/CinC Challenge 2012 is to develop methods for patient-specific prediction of in-hospital mortality. Participants will use information collected during the first two days of an ICU stay to predict which patients survive the…
Model
Credentialed Access
What's in a Note? Unpacking Predictive Value in Clinical Note Representations
Unlocking the full potential of clinical notes within electronic health records presents a challenge for large scale, computational analyses. Many studies that incorporate information from clinical notes do so with simple word-matching approaches an…
Database
Credentialed Access
GOSSIS-1-eICU, the eICU-CRD subset of the Global Open Source Severity of Illness Score (GOSSIS-1) dataset
GOSSIS-1 is a modern, free, open-source in-hospital mortality prediction algorithm for critical care patients, achieving excellent discrimination and calibration across three countries (Australia, New Zealand and the USA). GOSSIS-1 was developed on …
Challenge
Open Access
Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020
The electrocardiogram (ECG) is a non-invasive representation of the electrical activity of the heart from electrodes placed on the surface of the torso. The standard 12-lead ECG has been widely used to diagnose a variety of cardiac abnormalities suc…
Database
Credentialed Access
MIMIC-III and eICU-CRD: Feature Representation by FIDDLE Preprocessing
This is a preprocessed dataset derived from patient records in MIMIC-III and eICU, two large-scale electronic health record (EHR) databases. It contains features and labels for 5 prediction tasks involving 3 adverse outcomes (prediction times listed…
Database
Credentialed Access
MIMIC-III - SequenceExamples for TensorFlow modeling
This dataset contains TensorFlow SequenceExamples derived from patient records in MIMIC-III, a freely available set of deidentified medical records from critical care patients at Beth Israel Deaconess Medical Center. Each SequenceExample converts da…
Database
Credentialed Access
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
Restricted Access
CONCERN Early Warning System Trial
This dataset contains de-identified encounter level data from a 1-year, multisite, pragmatic, cluster-randomized controlled trial evaluating the CONCERN (COmmunicating Narrative Concerns Entered by RNs) early warning system, a machine learning-based…
Challenge
Open Access
Early Prediction of Sepsis from Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019
Sepsis is a life-threatening condition that occurs when the body's response to infection causes tissue damage, organ failure, or death (Singer et al., 2016). In the U.S., nearly 1.7 million people develop sepsis and 270,000 people die from sepsis ea…