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2020 – today
- 2024
[j7]Chuan Hong
, Molei Liu, Daniel Wojdyla, Jimmy Hickey, Michael J. Pencina, Ricardo Henao:
Trans-Balance: Reducing demographic disparity for prediction models in the presence of class imbalance. J. Biomed. Informatics 149: 104532 (2024)- [i2]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
- [j6]Molei Liu, Yi Zhang, Katherine P. Liao, Tianxi Cai:
Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models. J. Mach. Learn. Res. 24: 293:1-293:50 (2023) - 2022
- [j5]Isabelle-Emmanuella Nogues, Jun Wen, Yucong Lin, Molei Liu, Sara K. Tedeschi, Alon Geva, Tianxi Cai, Chuan Hong:
Weakly Semi-supervised phenotyping using Electronic Health records. J. Biomed. Informatics 134: 104175 (2022) - [j4]Yichi Zhang, Molei Liu, Matey Neykov, Tianxi Cai:
Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping. J. Mach. Learn. Res. 23: 83:1-83:25 (2022) - [c1]Molei Liu, Sara Morini, Xin Xiong, Chuan Hong, Clara-Lea Bonzel, Vidul Ayakulangara Panickan, Everett Neil Rush, Yuk-Lam Ho, Kelly Cho, J. Michael Gaziano, Katherine P. Liao, Tianxi Cai, Tianrun Cai:
Knowledge-Driven Online Multimodal Automated Phenotyping System. AMIA 2022 - 2021
- [j3]Alon Geva, Molei Liu, Vidul Ayakulangara Panickan, Paul Avillach, Tianxi Cai, Kenneth D. Mandl:
A high-throughput phenotyping algorithm is portable from adult to pediatric populations. J. Am. Medical Informatics Assoc. 28(6): 1265-1269 (2021) - [j2]Molei Liu, Yin Xia, Kelly Cho, Tianxi Cai:
Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints. J. Mach. Learn. Res. 22: 126:1-126:26 (2021) - [j1]Chuan Hong, Everett Neil Rush, Molei Liu, Doudou Zhou, Jiehuan Sun, Aaron Sonabend W., Victor M. Castro, Petra Schubert, Vidul Ayakulangara Panickan, Tianrun Cai, Lauren Costa, Zeling He, Nicholas B. Link, Ronald G. Hauser, J. Michael Gaziano, Shawn N. Murphy, George Ostrouchov, Yuk-Lam Ho, Edmon Begoli, Junwei Lu, Kelly Cho, Katherine P. Liao, Tianxi Cai:
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data. npj Digit. Medicine 4 (2021) - 2020
- [i1]Jessica L. Gronsbell, Molei Liu, Lu Tian, Tianxi Cai:
Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling. CoRR abs/2010.09443 (2020)
Coauthor Index
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