Hyeonhoon Lee (HyeonhoonLee)

HyeonhoonLee

Geek Repo

Company:Seoul National University Hospital

Location:Seoul

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Organizations
medal-contender
Project-MONAI

Hyeonhoon Lee's repositories

AIVE

Published article: Development and validation of a reinforcement learning model for ventilation control during emergence from general anesthesia

hrvarrest

Published article: Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU

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MediationRL

Implementation of "A Reinforcement Learning Framework for Dynamic Mediation Analysis" (ICML 2023) in Python.

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METRE

A Multidatabase ExTRaction PipEline (METRE) for facile cross validation in critical care research

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DeepPI

Published article: Deep autoencoder-powered pattern identification

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KOHI2022_advanced

Lecture material: Biosignal/EMR Artificial Intelligence Expert Training Course (Advanced)

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validating-cnn-mgmt

Published article: Validation of MRI-Based Models to Predict MGMT Promoter Methylation in Gliomas

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calibration

Package for assessment of calibration in binomial prediction models.

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causal_ehr_mimic

Code repository for the paper : Causal thinking for decision making on Electronic Health Records: why and how

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clin-summ

Clinical text summarization by adapting large language models

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evaluation-2023

Evaluation code for the 2023 PhysioNet Challenge

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HAIM

This repository contains the code to replicate the data processing, modeling and reporting of our Holistic AI in Medicine (HAIM) Publication in Nature Machine Intelligence (Soenksen LR, Ma Y, Zeng C et al. 2022).

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ICUsurvive

Code used for survival analysis using ICU data

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Med-PaLM

Towards Generalist Biomedical AI

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MIMIC-IV-Data-Pipeline

A customizable pipeline for data extraction from MIMIC-IV.

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moody_official

Python example code for the 2023 PhysioNet Challenge

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NYUTron

public code repository for paper "Health system scale language models are general purpose clinical prediction engines"

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PyHealth

A Deep Learning Python Toolkit for Healthcare Applications.

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respfailure

Prediction Model for Postoperative Respiratory Failure

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scope-rl

SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection

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SurvivalEVAL

The most comprehensive Python package for evaluating survival analysis models.

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