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Applications of artificial intelligence in drug development using real-world data

CITE Title : Applications of artificial intelligence in drug development using real-world data Personal Author(s) : Chen, Zhaoyi;Liu, Xiong;Hogan, William;Shenkman, Elizabeth;Bian, Jiang; Published Date : 5 2021;5-2021; Source : Drug Discov Today. 26(5):1256-1264 URL : https://stacks.cdc.gov/view/cdc/112046 Chen, Zhaoyi et al. (2021). Applications of artificial intelligence in drug development using real-world data. 26(5). Chen, Zhaoyi et al. "Applications of artificial intelligence in drug development using real-world data" 26, no. 5 (2021) Chen, Zhaoyi et al. "Applications of artificial intelligence in drug development using real-world data" vol. 26, no. 5, 2021 Export RIS Citation Information.

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Chen, Zhaoyi ;

Liu, Xiong

5 2021 | Drug Discov Today. 26(5):1256-1264

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The US Food and Drug Administration (FDA) has been actively promoting the use of real-world data (RWD) in drug development. RWD can generate important...
Early prediction of Alzheimer’s disease and related dementias using real-world electronic health records

CITE Title : Early prediction of Alzheimer’s disease and related dementias using real-world electronic health records Personal Author(s) : Li, Qian;Yang, Xi;Xu, Jie;Guo, Yi;He, Xing;Hu, Hui;Lyu, Tianchen;Marra, David;Miller, Amber;Smith, Glenn;DeKosky, Steven;Boyce, Richard D.;Schliep, Karen;Shenkman, Elizabeth;Maraganore, Demetrius;Wu, Yonghui;Bian, Jiang; Published Date : 8 2023;8-2023; Source : Alzheimers Dement. 19(8):3506-3518 URL : https://stacks.cdc.gov/view/cdc/153596 Li, Qian et al. (2023). Early prediction of Alzheimer’s disease and related dementias using real-world electronic health records. 19(8). Li, Qian et al. "Early prediction of Alzheimer’s disease and related dementias using real-world electronic health records" 19, no. 8 (2023) Li, Qian et al. "Early prediction of Alzheimer’s disease and related dementias using real-world electronic health records" vol. 19, no. 8, 2023 Export RIS Citation Information.

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Li, Qian ;

Yang, Xi

8 2023 | Alzheimers Dement. 19(8):3506-3518

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Introduction:This study aims to explore machine learning (ML) methods for early prediction of Alzheimer’s disease (AD) and related dementias (ADRD) ...
Hypertension in Florida: Data From the One Florida Clinical Data Research Network

CITE Title : Hypertension in Florida: Data From the One Florida Clinical Data Research Network Personal Author(s) : Smith, Steven M.;McAuliffe, Kathryn;Hall, Jaclyn M.;McDonough, Caitrin W.;Gurka, Matthew J.;Robinson, Temple O.;Sacco, Ralph L.;Pepine, Carl;Shenkman, Elizabeth;Cooper-DeHoff, Rhonda M.; Published Date : Mar 01 2018 Source : Prev Chronic Dis. 15. DOI : http://dx.doi.org/10.5888/pcd15.170332 Journal Title : Preventing Chronic Disease (PCD) Smith, Steven M. et al. (2018). Hypertension in Florida: Data From the One Florida Clinical Data Research Network. 15http://dx.doi.org/10.5888/pcd15.170332 Smith, Steven M. et al. "Hypertension in Florida: Data From the One Florida Clinical Data Research Network" 15 (2018), http://dx.doi.org/10.5888/pcd15.170332 Smith, Steven M. et al. "Hypertension in Florida: Data From the One Florida Clinical Data Research Network" vol. 15, 2018, http://dx.doi.org/10.5888/pcd15.170332 Export RIS Citation Information.

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Smith, Steven M. ;

McAuliffe, Kathryn

Mar 01 2018 | Prev Chronic Dis. 15.

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IntroductionHypertension is highly prevalent in Florida, but surveillance through the Behavioral Risk Factor Surveillance System (BRFSS) is limited to...