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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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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 . J. Am. Medical Informatics Assoc., 28 (8): 1683-1693 (2021)Taking a Respite from Representation Learning for Molecular Property Prediction., , , , , and . CoRR, (2022)Towards Better Opioid Antagonists Using Deep Reinforcement Learning., , , , and . CoRR, (2020)Artificial intelligence in drug discovery: applications and techniques., , , , and . Briefings Bioinform., (2022)Robust and Fast Decoding of High-Capacity Color QR Codes for Mobile Applications., , , , and . CoRR, (2017)Identifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications with Deep Learning., , , , , , , , and . CoRR, (2020)Artificial Intelligence in Drug Discovery: Applications and Techniques., , , and . CoRR, (2021)Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning., , , , , , , and . J. Biomed. Informatics, (2021)Robust and Fast Decoding of High-Capacity Color QR Codes for Mobile Applications., , , , and . IEEE Trans. Image Process., 27 (12): 6093-6108 (2018)