Resources
10 results for "risk prediction"
Database
Credentialed Access
Nosocomial Risk Datasets from MIMIC-III
Reliable longitudinal risk prediction for hospitalized patients is needed to provide quality care. Our goal is to foster the development of generalizable models capable of leveraging clinical notes to predict healthcare-associated diseases 24–96 hou…
Database
Credentialed Access
MIMIC-IV-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp
Clinical risk prediction based on machine learning algorithms plays a vital role in modern healthcare. A crucial component in developing a reliable prediction model is a high-quality dataset with time series clinical events. In this work, we release…
Database
Credentialed Access
Establishment of a Chinese critical care database from electronic healthcare records in a tertiary care medical center
The medical specialty of critical care, or intensive care, provides emergency medical care to patients suffering from life-threatening complications and injuries. The medical specialty is featured by the generation of a huge amount of high-granulari…
Database
Credentialed Access
MIMIC-III-Ext-tPatchGNN
This dataset is a curated subset of MIMIC-III (v1.4), specifically formatted to facilitate reproducibility of the experiments in the work t-PatchGNN. It serves as part of a benchmark designed for forecasting irregular multivariate clinical time seri…
Database
Restricted Access
In-hospital physical activity measured with a new Bosch accelerometer sensor system
Extended hospital stays and readmissions are associated with high costs and burden of disease. Effective ways to predict patient outcomes, select those at risk of adverse outcomes, and to prevent these accordingly, are lacking. Physical activity mea…
Database
Restricted Access
ALarms, Outcomes Telemetry with Timing (ALOTT): a Bedside-EMR Database
ALOTT is a pilot project that gathered telemetry data from 270 beds and over 15,000 hospital admissions from September 2018 through November 2020 at The James Cancer Hospital and Ross Heart Hospital. ALOTT contains telemetry waveforms, such as elect…
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
Credentialed Access
Maternal fat ultrasound measurement and nutritional assessment during pregnancy: A dataset centered in gestational outcomes
This dataset was collected as part of a prospective study in which abdominal maternal fat tissues ultrasound measurements were compared with outcomes during hospitalization for labor and delivery. Data was collected in a low-risk outpatient clinic f…
Software
Open Access
Software for computing Heart Rate Fragmentation
Heart rate fragmentation (HRF) is a new method for assessing neuroautonomic integrity based on the analysis of short-term (high-frequency [HF]) heart rate dynamics. The code (in AWK) provided here is for the computation of three different metrics, P…
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…