Resources
21 results for "mortality"
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…
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…
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…
Database
Credentialed Access
MIMIC-IV-Ext-PE: Pulmonary Embolism Labels for CT Pulmonary Angiography Radiology Reports
Pulmonary embolism (PE) is a leading cause of preventable in-hospital mortality. Advances in diagnosis, risk stratification, and prevention can improve outcomes. Large, publicly available datasets are needed to move research forward but are lacking …
Database
Restricted Access
Community-Acquired Pneumonia, Endotypes and Phenotypes (NACef): Prospective, observational cohort study of Translational Medicine
Community-Acquired Pneumonia (CAP) remains a prominent infectious process associated with elevated in-hospital morbidity and mortality rates. Through the exploration of phenotypes, endotypes, and biomarkers, it becomes feasible to identify individua…
Database
Credentialed Access
Immunosuppressive Condition and Medication Annotations for Admission Notes in the MIMIC-III Database
Immunosuppression due to underlying conditions or immunosuppressive medication use increases the risk of morbidity and mortality in the context of infectious disease. Identifying patients with immunosuppression is important for better studying and u…
Database
Open Access
MUSIC (Sudden Cardiac Death in Chronic Heart Failure)
The MUSIC (MUerte Subita en Insuficiencia Cardiaca) study is a prospective, multicentre, longitudinal study designed to assess risk predictors of cardiac mortality and sudden cardiac death (SCD) in ambulatory patients with chronic heart failure (CHF…
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…
Challenge
Open Access
Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022
Congenital heart diseases affect about 1% of newborns, representing an important morbidity and mortality factor for several severe conditions, including advanced heart failure [1]. In a 2019 survey, it was estimated that congenital heart diseases af…