AIMed Lab @ OSU

clinical-fusion

Code and Datasets for the paper "Combining structured and unstructured data for predictive models: a deep learning approach", published on BMC Medical Informatics and Decision Making in 2020.

ecg-diagnosis

Code and Datasets for the paper "Interpretable deep learning for automatic diagnosis of 12-lead electrocardiogram", published on iScience in 2021.

BAGAU-Net

Code and Datasets for the paper "Brain atlas guided attention u-net for white matter hyperintensity segmentation", published on AMIA 2021 Informatics Summit.

FAME

Code for the paper "FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery", published on SDM 2022.

TransICD

Code and Datasets for the paper "TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding", accepted by AIME 2021.

LP-SDA

Code and Datasets for the paper "Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports", published on BMC Medical Informatics and Decision Making in 2019.

PAVE

Code and Datasets for the paper "An Interpretable Risk Prediction Model for Healthcare with Pattern Attention", published on BMC Medical Informatics and Decision Making.

CCMDR

Code for the paper "Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases". Accepted by BMC Medical Informatics and Decision Making, 2021

DeepCE

Code and Datasets for the paper "A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing", published on Nature Machine Intelligence in 2021.

DSW

Code and Datasets for the paper "Estimating Individual Treatment Effects with Time-Varying Confounders", published on ICDM 2020.

CAT-LSTM

Code and Datasets for the paper "Predicting Age-Related Macular Degeneration Progression with Contrastive Attention and Time-Aware LSTM", published on KDD 2022.

CIGER

Code and Datasets for the paper "Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing", published on Patterns in 2022.

DeepIPW

Code and Datasets for the paper "A deep learning framework for drug repurposing via emulating clinical trials on real-world patient data", published on Nature Machine Intelligence in 2021.

DGViz

Code and Datasets for the paper "DG-Viz: Deep Visual Analytics with Domain Knowledge Guided Recurrent Neural Networks on Electronic Health Records", published on Journal of Medical Internet Research (JMIR) in 2020.

Age-Risk-Identification

Code and Datasets for the paper "A Computational Framework for Identifying Age Risks in Drug-Adverse Event Pairs", published on AMIA 2022 Informatics Summit.

BioNEV

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"

DAC

Code and Datasets for the paper "Deconfounding actor-critic network with policy adaptation for dynamic treatment regimes", published on KDD 2022.

DeepDRiD

Datasets for the paper "DeepDRiD: Diabetic Retinopathy—Grading and Image Quality Estimation Challenge", published on Patterns 2022.

DG-RNN

Code and Datasets for the paper "Domain Knowledge Guided Deep Learning with Electronic Health Records", published on ICDM 2019.

DII-Challenge

One of the top solutions for The 2019 DII National Data Science Challenge: https://sbmi.uth.edu/dii-challenge/. More details in the paper "An interpretable deep-learning model for early prediction of sepsis in the emergency department", published on Patterns 2021.

Drug_Similarity

FATDM

Fairness and Accuracy Transfer by Density Matching

IPTW-TBI

MultimodalPred

MuViTaNet

Code for the paper "Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning", published on ICDM 2021.

stable-prediction

T4

Code for paper "Estimating Trustworthy Treatment Effects for Antibiotic Stewardship in Sepsis"

TAME

Code and Datasets for the paper "Identifying Sepsis Subphenotypes via Time-Aware Multi-ModalAuto-Encoder", published on KDD 2020.

TC-EMNet

Code for the paper "Temporal clustering with external memory network for disease progression modeling". Accepted by ICDM 2021.