annie983284450-1 Goto Github PK

analysis-of-stimulus-driven-eeg-activity-patterns

ast

Adversarial Sparse Transformer for Time Series Forecasting

auditing-ml-techniques-to-study-twitter-racism-during-covid-19-pandemic-

cpbandit_sepsis

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

earlysepsisprediction

Early Prediction of Sepsis from Clinical Time Series Data

emory-sepsis-prediction

improving-sepsis-treatment-strategies

This is the repository for paper "Improving Sepsis Treatment Strategies using Deep Reinforcement Learning and Mixture-of-Experts"

mgp-tcn

Sepsis Prediction on MIMIC

mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

mimic-iv-data-pipeline

A customizable pipeline for data extraction from MIMIC-IV.

mimic_extract

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

mimic_generalisation

Code to study the generalisability of benchmark models on non-stationary EHRs.

mimic_sepsis_bymicrosoft

Sepsis cohort from MIMIC dataset

neural_exploration

Study NeuralUCB and regret analysis for contextual bandit with neural decision

offline_neural_bandits

An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR 2022.

onai-comp

OnAI-Comp: An Online AI Experts Competing Framework for Early Sepsis Detection

optimal_transport_reward

pyhealth

A Python Library for Health Predictive Models

reacher-deep-reinforcement-learning

This is a solution for the second project of the Udacity deep reinforcement learning course. It includes code for training an agent and for using it in a simulation environment.

recommended-papers-2019---2020

reinforcement-learning-

Effective RL papers with code

retain

RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism

sailocean1

The highest entry score from our team named SailOcean in the PhysioNet/Computing in Cardiology Challenge 2019. An Explainable Artificial Intelligence Predictor for Early Detection of Sepsis.

sepsis-prediction

Sepsis Prediction using Clinical Data (PhysioNet Computing in Cardiology Challenge 2019)

sepsis3-mimic

Evaluation of the Sepsis-3 guidelines in MIMIC-III

sepsischallenge-cinc2019

sepsisprediction

sepsisrl

Reinforcement Learning for optimal sepsis treatment policies

shap

A game theoretic approach to explain the output of any machine learning model.