Resources


Database Credentialed Access

Nosocomial Risk Datasets from MIMIC-III

Travis Goodwin

Text-based Longitudinal Data for Predicting Nosocomial Disease Risk as used by CANTRIP.

pressure injury risk prediction acute kidney injury anemia forecasting natural language processing deep learning

Published: Sept. 15, 2022. Version: 1.0

Database Credentialed Access

Nosocomial Risk Datasets from MIMIC-III

Travis Goodwin

Text-based Longitudinal Data for Predicting Nosocomial Disease Risk as used by CANTRIP.

pressure injury risk prediction acute kidney injury anemia forecasting natural language processing deep learning

Published: Sept. 15, 2022. Version: 1.0

Database Credentialed Access

Establishment of a Chinese critical care database from electronic healthcare records in a tertiary care medical center

Senjun Jin, Lin Chen, Kun Chen, Zhongheng Zhang

Chinese critical care database from electronic healthcare records in a tertiary care medical center

database china critical care

Published: Jan. 19, 2023. Version: 1.0

Database Restricted Access

In-hospital physical activity measured with a new Bosch accelerometer sensor system

Severin Schricker, Nico Schmid, Moritz Schanz, Martin Kimmel, Mark Dominik Alscher

Measurements of physical activity with wrist-worn Bosch sensor platform to test predictive performance for the duration of hospitalization and readmission in 58 patients with acute illnesses in internal medicine

prediction acute illness hospitalization readmission accelerometry accelerometer

Published: Dec. 3, 2020. Version: 1.0

Software Open Access

Software for computing Heart Rate Fragmentation

Madalena Costa

Heart rate fragmentation: a new method for the analysis of cardiac interbeat interval time series. The code provided can be run in Windows, Mac and Linux machines.

heart rate variability aging cardiovascular disease vagal tone time series analysis prediction of atrial fibrillation cardiac autonomic function prediction of cardiovascular events prediction of cognitive decline heart rate fragmentation

Published: Feb. 14, 2024. Version: 1.0.0

Challenge Restricted Access

WiDS (Women in Data Science) Datathon 2020: ICU Mortality Prediction

Meredith Lee, Jesse Raffa, Marzyeh Ghassemi, Tom Pollard, Sharada Kalanidhi, Omar Badawi, Karen Matthys, Leo Anthony Celi

WiDS (Women in Data Science) Datathon 2020: ICU Mortality Prediction focuses on patient health. Join a team, explore the data, and share your insights: http://bit.ly/WiDSdatathon2020

mortality risk data science kaggle icu challenge predictive analytics women in data science

Published: Jan. 22, 2020. Version: 1.0.0

Challenge Open Access

Early Prediction of Sepsis from Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019

Matthew Reyna, Chris Josef, Russell Jeter, Supreeth Shashikumar, Benjamin Moody, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari D. Clifford

The 2019 PhysioNet Computing in Cardiology Challenge invites participants to predict sepsis in clinical data

prediction challenge sepsis

Published: Aug. 5, 2019. Version: 1.0.0

Challenge Open Access

Early Prediction of Sepsis from Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019

Matthew Reyna, Chris Josef, Russell Jeter, Supreeth Shashikumar, Benjamin Moody, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari D. Clifford

The 2019 PhysioNet Computing in Cardiology Challenge invites participants to predict sepsis in clinical data

prediction challenge sepsis

Published: Aug. 5, 2019. Version: 1.0.0

Database Credentialed Access

Maternal fat ultrasound measurement and nutritional assessment during pregnancy: A dataset centered in gestational outcomes

Alexandre da Silva Rocha, Juliana Rombaldi Bernardi, Alice Schoffel, Daniela Kretzer, Salete Matos, José Antônio Magalhães, Marcelo Goldani

Dataset collected as part of a prospective study in which abdominal maternal fat tissue measurements were compared with outcomes during hospitalization for labor and delivery.

pregnancy ultrasound abdominal

Published: Dec. 4, 2020. Version: 1.0.0

Software Open Access

Software for computing Heart Rate Fragmentation

Madalena Costa

Heart rate fragmentation: a new method for the analysis of cardiac interbeat interval time series. The code provided can be run in Windows, Mac and Linux machines.

heart rate variability aging cardiovascular disease vagal tone time series analysis prediction of atrial fibrillation cardiac autonomic function prediction of cardiovascular events prediction of cognitive decline heart rate fragmentation

Published: Feb. 14, 2024. Version: 1.0.0