Xinyu Dong

发表

Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health Records for Quality Improvement: Temporal Deep Learning Approach

Rajarsi R. Gupta, J. Saltz, R. Moffitt, 2020, JMIR medical informatics.

A Large-Scale Observational Study on the Temporal Trends and Risk Factors of Opioid Overdose: Real-World Evidence for Better Opioids

J. Saltz, J. Hajagos, Fusheng Wang, 2020, Drugs - Real World Outcomes.

A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction

K. Abell-Hart, Fusheng Wang, Xinyu Dong, 2022, ArXiv.

An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction

R. Rosenthal, J. Hajagos, K. Abell-Hart, 2022, Artificial Intelligence in Medicine.

Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning

R. Rosenthal, J. Saltz, S. Rashidian, 2020, J. Biomed. Informatics.

Effective Scalable and Integrative Geocoding for Massive Address Datasets

Fusheng Wang, Xinyu Dong, Sina Rashidian, 2017, SIGSPATIAL/GIS.

A Large-Scale Observational Study on the Temporal Trends and Risk Factors of Opioid Overdose: Real-World Evidence for Better Opioids

J. Saltz, J. Hajagos, Fusheng Wang, 2020, Drugs - Real World Outcomes.

Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach

Xinyu Dong, Hongyi Duanmu, Sina Rashidian, 2020, Journal of medical Internet research.

EaserGeocoder: integrative geocoding with machine learning (demo paper)

Fusheng Wang, Xinyu Dong, Sina Rashidian, 2018, SIGSPATIAL/GIS.

Identifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications with Deep Learning pdf

Wei Hou, Fusheng Wang, Joel Saltz, 2020, J. Am. Medical Informatics Assoc..

Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records

Yu Wang, Joel Saltz, Xinyu Dong, 2019, AMIA.

Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health Records for Quality Improvement: Temporal Deep Learning Approach

Rajarsi R. Gupta, J. Saltz, R. Moffitt, 2020, JMIR medical informatics.

Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach (Preprint)

R. Rosenthal, S. Rashidian, Fusheng Wang, 2019 .

An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction

R. Rosenthal, J. Hajagos, K. Abell-Hart, 2022, Artif. Intell. Medicine.

Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction

R. Rosenthal, Fusheng Wang, Xinyu Dong, 2023, ArXiv.

A Large-Scale Observational Study on the Temporal Trends and Risk Factors of Opioid Overdose: Real-World Evidence for Better Opioids

J. Saltz, J. Hajagos, Fusheng Wang, 2020 .

Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning

Xinyu Dong, Mary M. Saltz, Sina Rashidian, 2021, J. Biomed. Informatics.