AIMed Lab @ OSU

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.

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.

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.

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.

ecg-diagnosis

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

FAME

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

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.

PULSE

The code, data, and models for "Teach Multimodal LLMs to Comprehend Electrocardiographic Images".

TransICD

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

AIMedLab/ecg-diagnosis

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

AIMedLab/PULSE

The code, data, and models for "Teach Multimodal LLMs to Comprehend Electrocardiographic Images".

AIMedLab/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.

AIMedLab/FAME

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

AIMedLab/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.

AIMedLab/TransICD

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

AIMedLab/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

AIMedLab/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.

AIMedLab/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.

AIMedLab/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.

AIMedLab/DSW

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

AIMedLab/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.

AIMedLab/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.

AIMedLab/DAC

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

AIMedLab/Drug_Similarity

AIMedLab/MultimodalPred

AIMedLab/CURE

AIMedLab/DeepDRiD

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

AIMedLab/DREAM

AIMedLab/FATDM

Fairness and Accuracy Transfer by Density Matching

AIMedLab/IPTW-TBI

AIMedLab/KG-TREAT

AIMedLab/MuViTaNet

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

AIMedLab/SepsisLab

AIMedLab/stable-prediction

AIMedLab/SubgroupTE

AIMedLab/T4

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

AIMedLab/TAME

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

AIMedLab/TC-EMNet

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

AIMedLab/TRANS

Official implementation for paper "Predictive Modeling with Temporal Graphical Representation on Electronic Health Records"