Xie F - Search Results

1

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques.

Liu M, Li S, Yuan H, Ong MEH, Ning Y, Xie F, Saffari SE, Shang Y, Volovici V, Chakraborty B, Liu N. Liu M, et al. Among authors: xie f. Artif Intell Med. 2023 Aug;142:102587. doi: 10.1016/j.artmed.2023.102587. Epub 2023 May 22. Artif Intell Med. 2023. PMID: 37316097 Review.

2

Novel model for predicting inpatient mortality after emergency admission to hospital in Singapore: retrospective observational study.

Xie F, Liu N, Wu SX, Ang Y, Low LL, Ho AFW, Lam SSW, Matchar DB, Ong MEH, Chakraborty B. Xie F, et al. BMJ Open. 2019 Sep 26;9(9):e031382. doi: 10.1136/bmjopen-2019-031382. BMJ Open. 2019. PMID: 31558458 Free PMC article.

3

Heart rate n-variability (HRnV) and its application to risk stratification of chest pain patients in the emergency department.

Liu N, Guo D, Koh ZX, Ho AFW, Xie F, Tagami T, Sakamoto JT, Pek PP, Chakraborty B, Lim SH, Tan JWC, Ong MEH. Liu N, et al. Among authors: xie f. BMC Cardiovasc Disord. 2020 Apr 10;20(1):168. doi: 10.1186/s12872-020-01455-8. BMC Cardiovasc Disord. 2020. PMID: 32276602 Free PMC article.

4

AutoScore: A Machine Learning-Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records.

Xie F, Chakraborty B, Ong MEH, Goldstein BA, Liu N. Xie F, et al. JMIR Med Inform. 2020 Oct 21;8(10):e21798. doi: 10.2196/21798. JMIR Med Inform. 2020. PMID: 33084589 Free PMC article.

5

Development and Assessment of an Interpretable Machine Learning Triage Tool for Estimating Mortality After Emergency Admissions.

Xie F, Ong MEH, Liew JNMH, Tan KBK, Ho AFW, Nadarajan GD, Low LL, Kwan YH, Goldstein BA, Matchar DB, Chakraborty B, Liu N. Xie F, et al. JAMA Netw Open. 2021 Aug 2;4(8):e2118467. doi: 10.1001/jamanetworkopen.2021.18467. JAMA Netw Open. 2021. PMID: 34448870 Free PMC article.

6

AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data.

Xie F, Ning Y, Yuan H, Goldstein BA, Ong MEH, Liu N, Chakraborty B. Xie F, et al. J Biomed Inform. 2022 Jan;125:103959. doi: 10.1016/j.jbi.2021.103959. Epub 2021 Nov 23. J Biomed Inform. 2022. PMID: 34826628 Free article.

7

Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies.

Xie F, Yuan H, Ning Y, Ong MEH, Feng M, Hsu W, Chakraborty B, Liu N. Xie F, et al. J Biomed Inform. 2022 Feb;126:103980. doi: 10.1016/j.jbi.2021.103980. Epub 2021 Dec 30. J Biomed Inform. 2022. PMID: 34974189 Free article. Review.

8

Development and validation of an interpretable machine learning scoring tool for estimating time to emergency readmissions.

Xie F, Liu N, Yan L, Ning Y, Lim KK, Gong C, Kwan YH, Ho AFW, Low LL, Chakraborty B, Ong MEH. Xie F, et al. EClinicalMedicine. 2022 Mar 6;45:101315. doi: 10.1016/j.eclinm.2022.101315. eCollection 2022 Mar. EClinicalMedicine. 2022. PMID: 35284804 Free PMC article.

9

Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation.

Liu N, Xie F, Siddiqui FJ, Ho AFW, Chakraborty B, Nadarajan GD, Tan KBK, Ong MEH. Liu N, et al. Among authors: xie f. JMIR Res Protoc. 2022 Mar 25;11(3):e34201. doi: 10.2196/34201. JMIR Res Protoc. 2022. PMID: 35333179 Free PMC article.

10

AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data.

Yuan H, Xie F, Ong MEH, Ning Y, Chee ML, Saffari SE, Abdullah HR, Goldstein BA, Chakraborty B, Liu N. Yuan H, et al. Among authors: xie f. J Biomed Inform. 2022 May;129:104072. doi: 10.1016/j.jbi.2022.104072. Epub 2022 Apr 11. J Biomed Inform. 2022. PMID: 35421602 Free article.

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