In this paper, we present LIGHTED, an integrated deep learning model combining long short term memory (LSTM) and graph neural networks (GNN) to predict patients ...

In this paper, we present LIGHTED, an integrated deep learning model combining long short term memory (LSTM) and graph neural networks (GNN) to predict patients ...

In this paper, we present LIGHTED, an integrated deep learning model combining long short term memory (LSTM) and graph neural networks (GNN) to predict patients ...

Oct 22, 2024 · In this paper, we present LIGHTED, an integrated deep learning model combining long short term memory (LSTM) and graph neural networks (GNN) to ...

An Integrated LSTM-HeteroRGNN Model for Interpretable Opioid Overdose Risk Prediction ... LSTM outperformed the other methods on opioid overdose prediction.

Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning · Author Picture Xinyu Dong.

2023. “An Integrated LSTM-HeteroRGNN Model for Interpretable Opioid Overdose Risk Prediction.” Artificial Intelligence in Medicine 135 (January): 102439.

An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction. Dong X, Wong R, Lyu W, Abell-Hart K, Deng J, Liu Y, Hajagos JG ...

Oct 16, 2020 · This study demonstrates that a temporal deep learning based predictive model can achieve promising results on identifying risk of opioid overdose of patients.

Rosenthal, Chao Chen and Fusheng Wang: An Integrated LSTM-HeteroRGNN Model for Interpretable Opioid Overdose Risk Prediction. Artificial Intelligence In ...