GitHub topics: intensive-care
aidh-ms/pyAKI
Python package to detect AKI within time series data.
Language: Python - Size: 3.34 MB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 5 - Forks: 0
pythonhealthdatascience/stars-reproduce-wood-2021
Assessing the computational reproducibility of Wood et al. 2021 as part of STARS.
Language: TeX - Size: 9.61 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
OdedMous/Sepsis-RL
My implementation of a Reinforcement Learning framework for Sepsis management.
Language: Python - Size: 1.66 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0
tam-ng/Survival_Analysis_ICU_24hrs
Using data within first 24 hours of intensive care to develop a machine learning model that could improve the current patient survival probability prediction system (apache_4a) and is more generalized to patients outside of the US
Language: Jupyter Notebook - Size: 34.6 MB - Last synced at: 8 days ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0
radioxoma/heval
Medical calculator for intensive care unit
Language: Python - Size: 430 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 12 - Forks: 1
pythonhealthdatascience/stars-reproduce-anagnostou-2022
Assessing the computational reproducibility of Anagnostou et al. 2022 as part of STARS.
Language: Jupyter Notebook - Size: 2.61 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
williamcaicedo/ISeeU
ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU
Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: 2 days ago - Pushed at: over 4 years ago - Stars: 28 - Forks: 7
ropensci-archive/cleanEHR 📦
:warning: ARCHIVED :warning: Essential tools and utility functions to facilitate the data processing pipeline, data cleaning and data analysing of clinical data from CC-HIC
Language: R - Size: 6.48 MB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 55 - Forks: 22
umg-minai/crt
Observational study of central venous catheter-related thrombosis
Language: TeX - Size: 7.49 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
HarryMayne/ICU-patient-subgroups
Unsupervised Learning Approaches for Identifying ICU Patient Subgroups: Do Results Generalise?
Language: Jupyter Notebook - Size: 57.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
lslbastos/COVID19_ICU_Changes_Mortality
Code for the analysis of mortality progression in COVID-19 ICU hospitalizations in Brazil (Rede D'Or São Luiz)
Language: R - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1
nghianguyen7171/TVAE-RRS
Temporal Variational Autoencoder Model for Rapid Response Sytem
Language: PostScript - Size: 2.06 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
UHBristolDataScience/towards-decision-support-icu-discharge
Public code from paper: 'Towards a decision support tool for intensive care discharge: machine learning algorithm development using electronic healthcare data from MIMIC-III and Bristol, UK'
Language: Jupyter Notebook - Size: 71.3 KB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 8 - Forks: 1
UHBristolDataScience/ICNARC-to-Philips-Linkage
Code for data linkage (curation of research database).
Language: Jupyter Notebook - Size: 1.58 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 3
re-sirb/Vital-signs
This project is an independent approach to acquire patient data from Philips patient monitors via network interface.
Language: Python - Size: 96.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0
nplhse/icuhelp 📦
This project is intended to provide some useful tools to the daily work of physicians on the intensive care unit.
Language: PHP - Size: 3.95 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
Radwa-Saeed/IOT-Based-ICU-Patient-Monitoring-System
It is a system that collects patient information with the help of a few sensors using WiFi module to keep the Doctors updated all time over internet
Language: JavaScript - Size: 643 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1
SICU-Stress-Measurement-System/frontend-cs
WPF App for controlling and monitoring the system.
Language: C# - Size: 159 KB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 4
