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).

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

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

My implementation of a Reinforcement Learning framework for Sepsis management.

WPF App for controlling and monitoring the system.

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

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

RemCard ICU — электронная реанимационная карта для ОРИТ и операционного блока. Windows-приложение: врач, медсестра, назначения, витальные показатели, баланс, ИВЛ, анализы и анестезиологический протокол.

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.

Detecting artifacts in intensive care monitoring data using decision trees and transducer level analysis. Clinical Technology, TU Delft.

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.

Buap, México. Facultad de Cultura Física: La app crea dos ecuaciones de regresión múltiple sobre Frecuencia Cardíaca Máxima y Frecuencia Cardíaca en Reposo y usa la formula de Karvonen para encontrar los LPM según varias intensidades de carga deseadas. Con la opción de crear ecuaciones automáticas para datos específicos de grupos específicos de …

Assessing the computational reproducibility of Anagnostou et al. 2022 as part of STARS.