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ORCIDSiqi Li 0004
Person information
- affiliation: Duke-NUS Medical School, Centre for Quantitative Medicine, Programme in Health Services and Systems Research, Singapore
Other persons with the same name
- Siqi Li — disambiguation page
- Siqi Li 0001
![[0000-0001-9720-826X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9720-826X")
(aka: Si-Qi Li 0001) — Tsinghua University, BNRist, THUIBCS, KLISS, BLBCI, School of Software, Beijing, China - Siqi Li 0002 — Northeastern University, Department of Software College, Shenyang, China
- Siqi Li 0003 — Kunming University of Science and Technology, Department of Electrical Engineering, China (and 2 more)
- Siqi Li 0005 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
- Siqi Li 0006 — Shanghai University, China
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2020 – today
- 2024
[c6]Xin Li, Siqi Li, Qiming Wu, Kunyu Yu:
Transfer Learning for Global Feature Importance Measurements. Tiny Papers @ ICLR 2024- [c5]Yuqing Shang, Qiming Wu, Siqi Li, Di Miao:
Empirical Evaluations of Personalized Federated Learning on Heterogeneous Electronic Health Records. Tiny Papers @ ICLR 2024 - [c4]Qiming Wu, Siqi Li, Di Miao, Yuqing Shang, Xin Li, Nan Liu:
Evaluating the Efficacy of Federated Scoring Systems with Heterogeneous Electronic Health Records. Tiny Papers @ ICLR 2024 - [i8]Siqi Li, Yuqing Shang, Ziwen Wang, Qiming Wu, Chuan Hong, Yilin Ning, Di Miao, Marcus Eng Hock Ong, Bibhas Chakraborty, Nan Liu:
Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data. CoRR abs/2403.05229 (2024) - [i7]Siqi Li, Xin Li, Kunyu Yu, Di Miao, Mingcheng Zhu, Mengying Yan, Yuhe Ke, Danny D'Agostino, Yilin Ning, Qiming Wu, Ziwen Wang, Yuqing Shang, Molei Liu, Chuan Hong, Nan Liu:
Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Biomedical Data Analysis. CoRR abs/2407.11034 (2024) - 2023
- [j3]Mingxuan Liu, Siqi Li, Han Yuan, Marcus Eng Hock Ong, Yilin Ning, Feng Xie, Seyed Ehsan Saffari, Yuqing Shang, Victor Volovici, Bibhas Chakraborty, Nan Liu:
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. Artif. Intell. Medicine 142: 102587 (2023) - [j2]Siqi Li, Pinyan Liu, Gustavo G. Nascimento, Xinru Wang, Fabio Renato Manzolli Leite, Bibhas Chakraborty, Chuan Hong, Yilin Ning, Feng Xie, Zhen Ling Teo, Daniel Shu Wei Ting, Hamed Haddadi, Marcus Eng Hock Ong, Marco Aurélio Peres, Nan Liu:
Federated and distributed learning applications for electronic health records and structured medical data: a scoping review. J. Am. Medical Informatics Assoc. 30(12): 2041-2049 (2023) - [j1]Siqi Li, Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Chuan Hong, Feng Xie, Han Yuan, Mingxuan Liu, Daniel M. Buckland, Yong Chen, Nan Liu:
FedScore: A privacy-preserving framework for federated scoring system development. J. Biomed. Informatics 146: 104485 (2023) - [c3]Han Yuan, Jin Wee Lee, Mingxuan Liu, Siqi Li, Chenglin Niu, Jun Wen, Feng Xie:
Interpretable Machine Learning-Based Risk Scoring with Individual and Ensemble Model Selection for Clinical Decision Making. Tiny Papers @ ICLR 2023 - [i6]Siqi Li, Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Chuan Hong, Feng Xie, Han Yuan, Mingxuan Liu, Daniel M. Buckland, Yong Chen, Nan Liu:
FedScore: A privacy-preserving framework for federated scoring system development. CoRR abs/2303.00282 (2023) - [i5]Siqi Li, Pinyan Liu, Gustavo G. Nascimento, Xinru Wang, Fabio Renato Manzolli Leite, Bibhas Chakraborty, Chuan Hong, Yilin Ning, Feng Xie, Zhen Ling Teo, Daniel Shu Wei Ting, Hamed Haddadi, Marcus Eng Hock Ong, Marco Aurélio Peres, Nan Liu:
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review. CoRR abs/2304.07310 (2023) - [i4]Siqi Li, Di Miao, Qiming Wu, Chuan Hong, Danny D'Agostino, Xin Li, Yilin Ning, Yuqing Shang, Huazhu Fu, Marcus Eng Hock Ong, Hamed Haddadi, Nan Liu:
Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches. CoRR abs/2311.03417 (2023) - 2022
- [c2]Yilin Ning, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu:
A Novel Interpretable Machine Learning System to Generate Clinical Risk Scores: An Application for Predicting Early Mortality or Unplanned Readmission in A Retrospective Cohort Study. AMIA 2022 - [c1]Feng Xie, Jun Zhou, Jin Wee Lee, Mingrui Tan, Siqi Li, Logasan S/O Rajnthern, Marcel Lucas Chee, Bibhas Chakraborty, An-Kwok Ian Wong, Alon Dagan, Marcus Eng Hock Ong, Fei Gao, Nan Liu:
Benchmarking Emergency Department Triage Prediction Models with Machine Learning and Large Public Electronic Health Records. AMIA 2022 - [i3]Yilin Ning, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu:
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study. CoRR abs/2201.03291 (2022) - [i2]Mingxuan Liu, Siqi Li, Han Yuan, Marcus Eng Hock Ong, Yilin Ning, Feng Xie, Seyed Ehsan Saffari, Victor Volovici, Bibhas Chakraborty, Nan Liu:
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. CoRR abs/2210.08258 (2022) - 2021
- [i1]Feng Xie, Jun Zhou, Jin Wee Lee, Mingrui Tan, Siqi Li, Logasan S/O Rajnthern, Marcel Lucas Chee, Bibhas Chakraborty, An-Kwok Ian Wong, Alon Dagan, Marcus Eng Hock Ong, Fei Gao, Nan Liu:
Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records. CoRR abs/2111.11017 (2021)
Coauthor Index
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