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Concurrent use of prescription gabapentinoids with opioids and risk for fall-related injury among older US Medicare beneficiaries with chronic noncancer pain: A population-based cohort study

C. Chen, A. Winterstein, W. Lo-Ciganic, P. Tighe, и Y. Wei. PLOS Medicine, 19 (3): 1-18 (марта 2022)
DOI: 10.1371/journal.pmed.1003921

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Wei Wei

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Improving Generalizability of Extracting Social Determinants of Health Using Large Language Models through Prompt-tuning.C. Peng, Z. Yu, K. Smith, W. Lo-Ciganic, J. Bian, и Y. Wu. CoRR, (2024)Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias.Z. Yu, C. Peng, X. Yang, C. Dang, P. Adekkanattu, B. Patra, Y. Peng, J. Pathak, D. Wilson, C. Chang и 6 other автор(ы). J. Biomed. Informatics, (2024)SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies.Z. Yu, X. Yang, C. Dang, P. Adekkanattu, B. Patra, Y. Peng, J. Pathak, D. Wilson, C. Chang, W. Lo-Ciganic и 5 other автор(ы). CoRR, (2022)A Prior Knowledge Based Neural Attention Model for Opioid Topic Identification.R. Yao, Q. Li, W. Lo-Ciganic, и D. Zeng. ISI, стр. 215-217. IEEE, (2019)Concurrent use of prescription gabapentinoids with opioids and risk for fall-related injury among older US Medicare beneficiaries with chronic noncancer pain: A population-based cohort studyC. Chen, A. Winterstein, W. Lo-Ciganic, P. Tighe, и Y. Wei. PLOS Medicine, 19 (3): 1-18 (марта 2022)Who Were the Early Adopters of Dabigatran?W. Lo-Ciganic, W. Gellad, H. Huskamp, N. Choudhry, C. Chang, R. Zhang, B. Jones, H. Guclu, S. Richards-Shubik, и J. Donohue. Medical Care, 54 (7): 725-732 (июля 2016)Anàlisi de dades; Group-based trajectory models.Identifying Clinical Risk Factors for Opioid Use Disorder using a Distributed Algorithm to Combine Real-World Data from a Large Clinical Data Research Network.J. Tong, Z. Chen, R. Duan, W. Lo-Ciganic, T. Lyu, C. Tao, P. Merkel, H. Kranzler, J. Bian, и Y. Chen. AMIA, AMIA, (2020)

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Wei Wei

Wei Wei

Wei Wei

Wei Wei

Wei Wei

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