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

, , , , , , , , and . Artif. Intell. Medicine, (January 2023)

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Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction., , , , , , and . CoRR, (2023)Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records., , , , , , , , , and . AMIA, AMIA, (2019)An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction., , , , , , , , and . Artif. Intell. Medicine, (January 2023)Identifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications with Deep Learning., , , , , , , , and . CoRR, (2020)Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning., , , , , , , and . J. Biomed. Informatics, (2021)Usability Testing to Guide Development of a Clinical Decision Support System for Substance Use Screening and Interventions in Primary Care., , , , , , , , , and 1 other author(s). AMIA, AMIA, (2017)Identifying risk of opioid use disorder for patients taking opioid medications with deep learning., , , , , , , , and . J. Am. Medical Informatics Assoc., 28 (8): 1683-1693 (2021)