33594415 33828294 33936446 33990663 - Search Results

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Year	Number of Results
2020	1
2021	4
2022	0

Page 1

Deep propensity network using a sparse autoencoder for estimation of treatment effects.

Ghosh S, Bian J, Guo Y, Prosperi M. Ghosh S, et al. J Am Med Inform Assoc. 2021 Jun 12;28(6):1197-1206. doi: 10.1093/jamia/ocaa346. J Am Med Inform Assoc. 2021. PMID: 33594415 Free PMC article.

Evaluating eligibility criteria of oncology trials using real-world data and AI.

Liu R, Rizzo S, Whipple S, Pal N, Pineda AL, Lu M, Arnieri B, Lu Y, Capra W, Copping R, Zou J. Liu R, et al. Nature. 2021 Apr;592(7855):629-633. doi: 10.1038/s41586-021-03430-5. Epub 2021 Apr 7. Nature. 2021. PMID: 33828294 Free PMC article.

Using Real-World Data to Rationalize Clinical Trials Eligibility Criteria Design: A Case Study of Alzheimer's Disease Trials.

Li Q, Guo Y, He Z, Zhang H, George TJ Jr, Bian J. Li Q, et al. AMIA Annu Symp Proc. 2021 Jan 25;2020:717-726. eCollection 2020. AMIA Annu Symp Proc. 2021. PMID: 33936446 Free PMC article.

Exploring the feasibility of using real-world data from a large clinical data research network to simulate clinical trials of Alzheimer's disease.

Chen Z, Zhang H, Guo Y, George TJ, Prosperi M, Hogan WR, He Z, Shenkman EA, Wang F, Bian J. Chen Z, et al. NPJ Digit Med. 2021 May 14;4(1):84. doi: 10.1038/s41746-021-00452-1. NPJ Digit Med. 2021. PMID: 33990663 Free PMC article.

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