Chen T - Search Results

1

Fast and scalable ensemble learning method for versatile polygenic risk prediction.

Chen T, Zhang H, Mazumder R, Lin X. Chen T, et al. Proc Natl Acad Sci U S A. 2024 Aug 13;121(33):e2403210121. doi: 10.1073/pnas.2403210121. Epub 2024 Aug 7. Proc Natl Acad Sci U S A. 2024. PMID: 39110727

2

A new method for multiancestry polygenic prediction improves performance across diverse populations.

Zhang H, Zhan J, Jin J, Zhang J, Lu W, Zhao R, Ahearn TU, Yu Z, O'Connell J, Jiang Y, Chen T, Okuhara D; 23andMe Research Team; Garcia-Closas M, Lin X, Koelsch BL, Chatterjee N. Zhang H, et al. Among authors: chen t. Nat Genet. 2023 Oct;55(10):1757-1768. doi: 10.1038/s41588-023-01501-z. Epub 2023 Sep 25. Nat Genet. 2023. PMID: 37749244 Free PMC article.

3

Ensembled best subset selection using summary statistics for polygenic risk prediction.

Chen T, Zhang H, Mazumder R, Lin X. Chen T, et al. bioRxiv [Preprint]. 2023 Sep 27:2023.09.25.559307. doi: 10.1101/2023.09.25.559307. bioRxiv. 2023. PMID: 37886515 Free PMC article. Preprint.

4

Impact of individual level uncertainty of lung cancer polygenic risk score (PRS) on risk stratification.

Wang X, Zhang Z, Ding Y, Chen T, Mucci L, Albanes D, Landi MT, Caporaso NE, Lam S, Tardon A, Chen C, Bojesen SE, Johansson M, Risch A, Bickeböller H, Wichmann HE, Rennert G, Arnold S, Brennan P, McKay JD, Field JK, Shete SS, Le Marchand L, Liu G, Andrew AS, Kiemeney LA, Zienolddiny-Narui S, Behndig A, Johansson M, Cox A, Lazarus P, Schabath MB, Aldrich MC, Hung RJ, Amos CI, Lin X, Christiani DC. Wang X, et al. Among authors: chen c, chen t. Genome Med. 2024 Feb 5;16(1):22. doi: 10.1186/s13073-024-01298-4. Genome Med. 2024. PMID: 38317189 Free PMC article.

5

Genomic Insights for Personalized Care: Motivating At-Risk Individuals Toward Evidence-Based Health Practices.

Chen T, Pham G, Fox L, Adler N, Wang X, Zhang J, Byun J, Han Y, Saunders GRB, Liu D, Bray MJ, Ramsey AT, McKay J, Bierut L, Amos CI, Hung RJ, Lin X, Zhang H, Chen LS. Chen T, et al. Among authors: chen ls. medRxiv [Preprint]. 2024 Jun 21:2024.03.19.24304556. doi: 10.1101/2024.03.19.24304556. medRxiv. 2024. PMID: 38562690 Free PMC article. Preprint.

6

SPLENDID incorporates continuous genetic ancestry in biobank-scale data to improve polygenic risk prediction across diverse populations.

Chen T, Zhang H, Mazumder R, Lin X. Chen T, et al. bioRxiv [Preprint]. 2024 Oct 17:2024.10.14.618256. doi: 10.1101/2024.10.14.618256. bioRxiv. 2024. PMID: 39464044 Free PMC article. Preprint.

7

Validation of Machine Learning Model Performance in Predicting Blood Transfusion After Primary and Revision Total Hip Arthroplasty.

Buddhiraju A, Shimizu MR, Subih MA, Chen TL, Seo HH, Kwon YM. Buddhiraju A, et al. J Arthroplasty. 2023 Oct;38(10):1959-1966. doi: 10.1016/j.arth.2023.06.002. Epub 2023 Jun 12. J Arthroplasty. 2023. PMID: 37315632

8

Machine Learning Models Based on a National-Scale Cohort Identify Patients at High Risk for Prolonged Lengths of Stay Following Primary Total Hip Arthroplasty.

Chen TL, Buddhiraju A, Costales TG, Subih MA, Seo HH, Kwon YM. Chen TL, et al. J Arthroplasty. 2023 Oct;38(10):1967-1972. doi: 10.1016/j.arth.2023.06.009. Epub 2023 Jun 12. J Arthroplasty. 2023. PMID: 37315634

9

Can machine learning models predict prolonged length of hospital stay following primary total knee arthroplasty based on a national patient cohort data?

Chen TL, Buddhiraju A, Seo HH, Shimizu MR, Bacevich BM, Kwon YM. Chen TL, et al. Arch Orthop Trauma Surg. 2023 Dec;143(12):7185-7193. doi: 10.1007/s00402-023-05013-7. Epub 2023 Aug 17. Arch Orthop Trauma Surg. 2023. PMID: 37592158

10

Do preoperative PROMIS scores independently predict 90-day readmission following primary total knee arthroplasty?

Buddhiraju A, Chen TL, Shimizu M, Seo HH, Esposito JG, Kwon YM. Buddhiraju A, et al. Arch Orthop Trauma Surg. 2024 Feb;144(2):861-867. doi: 10.1007/s00402-023-05093-5. Epub 2023 Oct 20. Arch Orthop Trauma Surg. 2024. PMID: 37857869

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