intensive-care

⚠️ ARCHIVED ⚠️ Essential tools and utility functions to facilitate the data processing pipeline, data cleaning and data analysing of clinical data from CC-HIC

ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU

This project is an independent approach to acquire patient data from Philips patient monitors via network interface.

Medical calculator for intensive care unit

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'

Python package to detect AKI within time series data.

Code for data linkage (curation of research database).

Assessing the computational reproducibility of Wood et al. 2021 as part of STARS.

Unsupervised Learning Approaches for Identifying ICU Patient Subgroups: Do Results Generalise?

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

WPF App for controlling and monitoring the system.

My implementation of a Reinforcement Learning framework for Sepsis management.

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

Code & materials for Immersive Virtual Reality Use in Medical Intensive Care: Mixed Methods Feasibility Study

In-patient AAC web app for people who have temporarily lost their voice. Tap a phrase, hear it spoken in a clone of your own voice. Runs entirely on-device in the browser, so nothing leaves the tablet after first load. v0.1 prototype, not for clinical use.

Tested Python library of 367 quantitative human physiology equations (Feher, 3rd ed.) as importable, dependency-tracked AtomicEquation objects for CICM/ANZCA Primary Exam reasoning — with an integrative equation graph you seed and propagate. Full (qp) and minimal-runtime (qpm) tiers.

Code for the analysis of mortality progression in COVID-19 ICU hospitalizations in Brazil (Rede D'Or São Luiz)

Observational study of central venous catheter-related thrombosis

Beijing Aeonmed Co., Ltd. is a Chinese medical device manufacturer founded in 2001 and headquartered in Fengtai District, Beijing. Aeonmed researches, designs, and manufactures anesthesia and respiratory equipment for operating rooms and intensive care units, including anesthesia machines, ICU and emergency/transport ventilators, operating tables…

EyeBridge - Eye-controlled communication & social platform for bedridden patients. Free, open-source, works with just a webcam.