Pinned Repositories
2019-GraphNeuralNetworksPaperList
Graph Neural Networks Paper List of 2019 Conferences
Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
BiasedRandomForest
An implementation of Bader-El-Den 2019 (IEEE) paper
bingdundun_py
冰墩墩python
ConCare
Code for - ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context (AAAI-2020)
CV
pytorch_ehr
source codes based on PyTorch to analyze EHR
SCEHR
stroke-prediction-using-deep-learning
Implementation of the study: "The Use of Deep Learning to Predict Stroke Patient Mortality" by Cheon et al.
zhangxiaowbl's Repositories
zhangxiaowbl/BiasedRandomForest
An implementation of Bader-El-Den 2019 (IEEE) paper
zhangxiaowbl/pytorch_ehr
source codes based on PyTorch to analyze EHR
zhangxiaowbl/SCEHR
zhangxiaowbl/stroke-prediction-using-deep-learning
Implementation of the study: "The Use of Deep Learning to Predict Stroke Patient Mortality" by Cheon et al.
zhangxiaowbl/2019-GraphNeuralNetworksPaperList
Graph Neural Networks Paper List of 2019 Conferences
zhangxiaowbl/Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
zhangxiaowbl/bingdundun_py
冰墩墩python
zhangxiaowbl/ConCare
Code for - ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context (AAAI-2020)
zhangxiaowbl/CV
zhangxiaowbl/DeepCare
A Deep Dynamic Memory Model for Predictive Medicine
zhangxiaowbl/DeepEHR
Chronic Disease Prediction Using Medical Notes
zhangxiaowbl/DeepST
Deep Learning for Spatio-Temporal Data
zhangxiaowbl/DG-RNN
zhangxiaowbl/Electronic-Health-Records-GRUs
zhangxiaowbl/GNN_for_EHR
Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"
zhangxiaowbl/K-SOM-k-means
A combined approach has been applied.A Kohonen self organizing map of a given data set containing only categorical variables is constructed. The output of the first part is used as input to k-means for clustering. It has been observed that it provides better results as compared to directly applying k-means.
zhangxiaowbl/LaTeX-template-for-UPC-thesis-
LaTeX UPC Phd Template. Oxford/Cambridge based LaTeX Phd template with ACL/CVPR conf template inspired modification.
zhangxiaowbl/lstm_predict
Readmission prediction using deep learning on electronic health records
zhangxiaowbl/LT
zhangxiaowbl/mime
MiME Repository
zhangxiaowbl/Patient2Vec
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
zhangxiaowbl/PatientLevelPrediction
An R package for performing patient level prediction in an observational database in the OMOP Common Data Model.
zhangxiaowbl/Predicting-future-medical-diagnoses-with-RNNs-using-Fast-AI-API-from-scratch
zhangxiaowbl/PyHealth
A Python Library for Health Predictive Models
zhangxiaowbl/pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
zhangxiaowbl/PyTorch-Tutorial
Build your neural network easy and fast
zhangxiaowbl/RetainVis
An implementation of RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records
zhangxiaowbl/roc-utils
Python package to compute and visualize a ROC analysis
zhangxiaowbl/roc_curve_with_confidence_intervals
zhangxiaowbl/TAPER-EHR
Patient Code & Text Representation Learning