Search Results

A Privacy-Preserving Healthcare Framework Using Hyperledger Fabric

1 code implementation18 Nov 2020

Electronic health record (EHR) management systems require the adoption of effective technologies when health information is being exchanged.

Cryptography and Security

GRAM: Graph-based Attention Model for Healthcare Representation Learning

1 code implementation21 Nov 2016

-Interpretation:The representations learned by deep learning methods should align with medical knowledge.

Representation Learning

UNETR: Transformers for 3D Medical Image Segmentation

6 code implementations18 Mar 2021

Inspired by the recent success of transformers in Natural Language Processing (NLP) in long-range sequence learning, we reformulate the task of volumetric (3D) medical image segmentation as a sequence-to-sequence prediction problem.

3D Medical Imaging Segmentation

RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism

1 code implementation NeurIPS 2016

RETAIN was tested on a large health system EHR dataset with 14 million visits completed by 263K patients over an 8 year period and demonstrated predictive accuracy and computational scalability comparable to state-of-the-art methods such as RNN, and ease of interpretability comparable to traditional models.

Disease Trajectory Forecasting

Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets

1 code implementation23 Oct 2017

Deep learning models (aka Deep Neural Networks) have revolutionized many fields including computer vision, natural language processing, speech recognition, and is being increasingly used in clinical healthcare applications.

Length-of-Stay prediction Mortality Prediction +2

MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare

1 code implementation NeurIPS 2018

Deep learning models exhibit state-of-the-art performance for many predictive healthcare tasks using electronic health records (EHR) data, but these models typically require training data volume that exceeds the capacity of most healthcare systems.

Disease Prediction

CoAID: COVID-19 Healthcare Misinformation Dataset

1 code implementation22 May 2020

As the COVID-19 virus quickly spreads around the world, unfortunately, misinformation related to COVID-19 also gets created and spreads like wild fire.


Conquery: an open source application to analyze high content healthcare data

1 code implementation7 Sep 2020

As the only open-source software in Germany that explicitly addresses the stringent use and analysis of health data, Conquery is of great value to the healthcare community.


An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare

1 code implementation23 Nov 2020

Reinforcement Learning (RL) has recently been applied to sequential estimation and prediction problems identifying and developing hypothetical treatment strategies for septic patients, with a particular focus on offline learning with observational data.

Representation Learning

CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records

1 code implementation25 Jan 2020

To demonstrate the model fidelity, we show that CorGAN generates synthetic data with performance similar to that of real data in various Machine Learning settings such as classification and prediction.

Disease Prediction General Classification +2