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🧪Yet Another ICU Benchmark: a holistic framework for the standardization of clinical prediction model experiments. Provide custom datasets, cohorts, prediction tasks, endpoints, preprocessing, and models. Paper: https://arxiv.org/abs/2306.05109

This repository contains the official code for the paper "Real-time prediction of intensive care unit patient acuity and therapy requirements using state-space modelling" (Nature Communications), which presents a deep learning framework for real-time patient acuity prediction using EHR data.

Repository for the Paper: „On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series“

predicting the morality of acute myocardial infarction. 基于机器学习的急性心肌梗死死亡风险预测

Python implementation of the Unicode Message Format 2.0 specification

NodeJS ICU Word Segmenter

Python ICU (ICU - International Components for Unicode) examples

Predicting future hospital mortality using only the first 6 hours of admission to the ICU

Acid-base, blood gases status calculations. Superseded by Heval

Relieve ICU staff through a Wifi babyphone network that transmits identifiable monitoring alarms to multiple displays, dedicated smartphones, DECTs, or any computer.

The main idea from application is plotting multiple (channels of) signals and give the user to manipulate the channels, compare between it and show spectrogram for one of the plotted signals.

This is the repo for the course project of IND ENG 174 (2024 Fall @ UC Berkeley)

In-hospital cardiac mortality predictor trained on 15,757 real Indian patient records. Achieves AUC 0.977 using only routine blood tests & echo. Nurse-ready Streamlit web dashboard works on any phone in <3 sec. Discovered alcohol J-curve automatically. Ready for real ward deployment to save lives today.

Deep Interpretable Mortality Model for ICU Risk Prediction

A library to normalize Unicode emoji sequencies

A comprehensive healthcare management system that provides a REST API for accessing ICU patient data and medical appointments.

An experiment to test the capabilities of an LLM to assist ICU teams