Charness N - Search Results

1

Clinical Trial Generalizability Assessment in the Big Data Era: A Review.

He Z, Tang X, Yang X, Guo Y, George TJ, Charness N, Quan Hem KB, Hogan W, Bian J. He Z, et al. Among authors: charness n. Clin Transl Sci. 2020 Jul;13(4):675-684. doi: 10.1111/cts.12764. Epub 2020 Apr 10. Clin Transl Sci. 2020. PMID: 32058639 Free PMC article.

2

Assessing the Comorbidity Gap between Clinical Studies and Prevalence in Elderly Patient Populations.

He Z, Charness N, Bian J, Hogan WR. He Z, et al. Among authors: charness n. IEEE EMBS Int Conf Biomed Health Inform. 2016 Feb;2016:136-139. doi: 10.1109/BHI.2016.7455853. Epub 2016 Apr 21. IEEE EMBS Int Conf Biomed Health Inform. 2016. PMID: 27738664 Free PMC article.

3

Prevalence of Multiple Chronic Conditions Among Older Adults in Florida and the United States: Comparative Analysis of the OneFlorida Data Trust and National Inpatient Sample.

He Z, Bian J, Carretta HJ, Lee J, Hogan WR, Shenkman E, Charness N. He Z, et al. Among authors: charness n. J Med Internet Res. 2018 Apr 12;20(4):e137. doi: 10.2196/jmir.8961. J Med Internet Res. 2018. PMID: 29650502 Free PMC article.

4

Assessing the Validity of a a priori Patient-Trial Generalizability Score using Real-world Data from a Large Clinical Data Research Network: A Colorectal Cancer Clinical Trial Case Study.

Li Q, He Z, Guo Y, Zhang H, George TJ, Hogan W, Charness N, Bian J. Li Q, et al. Among authors: charness n. AMIA Annu Symp Proc. 2020 Mar 4;2019:1101-1110. eCollection 2019. AMIA Annu Symp Proc. 2020. PMID: 32308907 Free PMC article.

5

How the clinical research community responded to the COVID-19 pandemic: An analysis of the COVID-19 clinical studies in ClinicalTrials.gov.

He Z, Erdengasileng A, Luo X, Xing A, Charness N, Bian J. He Z, et al. Among authors: charness n. medRxiv [Preprint]. 2020 Dec 15:2020.09.16.20195552. doi: 10.1101/2020.09.16.20195552. medRxiv. 2020. Update in: JAMIA Open. 2021 Apr 20;4(2):ooab032. doi: 10.1093/jamiaopen/ooab032 PMID: 32995807 Free PMC article. Updated. Preprint.

6

How the clinical research community responded to the COVID-19 pandemic: an analysis of the COVID-19 clinical studies in ClinicalTrials.gov.

He Z, Erdengasileng A, Luo X, Xing A, Charness N, Bian J. He Z, et al. Among authors: charness n. JAMIA Open. 2021 Apr 20;4(2):ooab032. doi: 10.1093/jamiaopen/ooab032. eCollection 2021 Apr. JAMIA Open. 2021. PMID: 34056559 Free PMC article.

7

Motivation to Engage in Aging Research: Are There Typologies and Predictors?

Carr DC, Tian S, He Z, Chakraborty S, Dieciuc M, Gray N, Agharazidermani M, Lustria MLA, Dilanchian A, Zhang S, Charness N, Terracciano A, Boot WR. Carr DC, et al. Among authors: charness n. Gerontologist. 2022 Nov 30;62(10):1466-1476. doi: 10.1093/geront/gnac035. Gerontologist. 2022. PMID: 35267020 Free PMC article.

8

Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records.

He Z, Tian S, Erdengasileng A, Charness N, Bian J. He Z, et al. Among authors: charness n. AMIA Jt Summits Transl Sci Proc. 2022 May 23;2022:226-235. eCollection 2022. AMIA Jt Summits Transl Sci Proc. 2022. PMID: 35854753 Free PMC article.

9

A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training.

He Z, Tian S, Singh A, Chakraborty S, Zhang S, Lustria MLA, Charness N, Roque NA, Harrell ER, Boot WR. He Z, et al. Among authors: charness n. Inf Process Manag. 2022 Sep;59(5):103034. doi: 10.1016/j.ipm.2022.103034. Epub 2022 Jul 21. Inf Process Manag. 2022. PMID: 35909793 Free PMC article.

10

Deep learning-based predictions of older adults' adherence to cognitive training to support training efficacy.

Singh A, Chakraborty S, He Z, Tian S, Zhang S, Lustria MLA, Charness N, Roque NA, Harrell ER, Boot WR. Singh A, et al. Among authors: charness n. Front Psychol. 2022 Nov 17;13:980778. doi: 10.3389/fpsyg.2022.980778. eCollection 2022. Front Psychol. 2022. PMID: 36467206 Free PMC article.

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