hyeonhoonlee Goto Github PK

ai-for-medicine-specialization-deeplearning.ai

My assignment soultions to the AI for Medicine Specialization course from coursera

ai_cspine

aive

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

betacal

Beta calibration

calibration

Package for assessment of calibration in binomial prediction models.

causal_ehr_mimic

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

clin-summ

Clinical text summarization by adapting large language models

colab

cql

PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.

d3rlpy

An offline deep reinforcement learning library

deeppi

Published article: Deep autoencoder-powered pattern identification

delirium_prediction

evaluation-2023

Evaluation code for the 2023 PhysioNet Challenge

fhir-analytics-pipelines

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).

hands-on-computer-vision-with-tensorflow-2

Hands-On Computer Vision with TensorFlow 2, published by Packt

hrvarrest

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

icusurvive

Code used for survival analysis using ICU data

infra_meditact_meditact

Minister's award project: AI-based online medical service

intro_vitaldb

kaggle

khd2020

Sinusitis classification

khd_2020

KHD_2020_Paranasal sinuses

kiom_kdc

Data analysis of Korean medical data from KIOM

kohi2022_advanced

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

kohi_advance_2021

KOHI advanced 2021

konlp

Development of the optimized NLP model for Korean language

lightgbm-with-focal-loss

An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems

maic2021_sleep

4th place in MAIC2021 Sleep AI Challenge (SleepingDragon)

marbling

beef image recognition and classification