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Tianxi Cai
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2020 – today
- 2024
- [j40]Jacqueline Honerlaw
, Yuk-Lam Ho, Francesca Fontin, Michael Murray, Ashley Galloway
Centralized Interactive Phenomics Resource: an integrated online phenomics knowledgebase for health data users. J. Am. Medical Informatics Assoc. 31(5): 1126-1134 (2024) - [j39]Isabelle-Emmanuella Nogues, Jun Wen
Semi-supervised Double Deep Learning Temporal Risk Prediction (SeDDLeR) with Electronic Health Records. J. Biomed. Informatics 157: 104685 (2024) - [j38]Priyam Das
Clustering Sequence Data with Mixture Markov Chains with Covariates Using Multiple Simplex Constrained Optimization Routine (MSiCOR). J. Comput. Graph. Stat. 33(2): 379-392 (2024) - [j37]Jun Wen
LATTE: Label-efficient incident phenotyping from longitudinal electronic health records. Patterns 5(1): 100906 (2024) - [i14]Tianxi Cai, Feiqing Huang, Ryumei Nakada, Linjun Zhang, Doudou Zhou:
Contrastive Learning on Multimodal Analysis of Electronic Health Records. CoRR abs/2403.14926 (2024) - [i13]Rui Duan, Xin Xiong, Jueyi Liu, Katherine P. Liao, Tianxi Cai:
Federated One-Shot Ensemble Clustering. CoRR abs/2409.08396 (2024) - 2023
- [j36]Jun Wen
Multimodal representation learning for predicting molecule-disease relations. Bioinform. 39(2) (2023) - [j35]Jacqueline Honerlaw
Framework of the Centralized Interactive Phenomics Resource (CIPHER) standard for electronic health data-based phenomics knowledgebase. J. Am. Medical Informatics Assoc. 30(5): 958-964 (2023) - [j34]Amelia L. M. Tan, Emily J. Getzen, Meghan R. Hutch, Zachary H. Strasser
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? J. Biomed. Informatics 139: 104306 (2023) - [j33]Yucong Lin, Keming Lu, Sheng Yu
Multimodal learning on graphs for disease relation extraction. J. Biomed. Informatics 143: 104415 (2023) - [j32]Chuan Hong
Semi-supervised calibration of noisy event risk (SCANER) with electronic health records. J. Biomed. Informatics 144: 104425 (2023) - [j31]Doudou Zhou, Tianxi Cai, Junwei Lu:
Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices. J. Mach. Learn. Res. 24: 221:1-221:43 (2023) - [j30]Jue Hou, Zijian Guo, Tianxi Cai:
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction. J. Mach. Learn. Res. 24: 265:1-265:58 (2023) - [j29]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) - [j28]Aaron Sonabend W., Nilanjana Laha, Ashwin N. Ananthakrishnan, Tianxi Cai, Rajarshi Mukherjee:
Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes. J. Mach. Learn. Res. 24: 323:1-323:86 (2023) - [c14]Keming Lu, Peter Potash, Xihui Lin, Yuwen Sun, Zihan Qian, Zheng Yuan, Tristan Naumann, Tianxi Cai, Junwei Lu
Prompt Discriminative Language Models for Domain Adaptation. ClinicalNLP@ACL 2023: 247-258 - [c13]Antoine Neuraz, Ivan Lerner, Olivier Birot, Camila Arias, Larry Han, Clara-Lea Bonzel, Tianxi Cai, Kim Tâm Huynh, Adrien Coulet:
TAXN: Translate Align Extract Normalize, a Multilingual Extraction Tool for Clinical Texts. MedInfo 2023: 649-653 - [i12]Jun Wen, Jue Hou, Clara-Lea Bonzel, Yihan Zhao, Victor M. Castro, Vivian S. Gainer, Dana Weisenfeld, Tianrun Cai, Yuk-Lam Ho, Vidul Ayakulangara Panickan, Lauren Costa, Chuan Hong, J. Michael Gaziano, Katherine P. Liao, Junwei Lu, Kelly Cho, Tianxi Cai:
LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health Records. CoRR abs/2305.11407 (2023) - [i11]Xin Xiong, Zijian Guo, Tianxi Cai:
Distributionally Robust Transfer Learning. CoRR abs/2309.06534 (2023) - 2022
- [j27]Nicholas B. Link, Sicong Huang, Tianrun Cai, Jiehuan Sun, Kumar Dahal, Lauren Costa, Kelly Cho, Katherine P. Liao, Tianxi Cai, Chuan Hong:
Binary acronym disambiguation in clinical notes from electronic health records with an application in computational phenotyping. Int. J. Medical Informatics 162: 104753 (2022) - [j26]Tianrun Cai, Zeling He, Chuan Hong, Yichi Zhang, Yuk-Lam Ho, Jacqueline Honerlaw, Alon Geva, Vidul Ayakulangara Panickan
Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review. J. Biomed. Informatics 132: 104109 (2022) - [j25]Doudou Zhou, Ziming Gan, Xu Shi
Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization. J. Biomed. Informatics 133: 104147 (2022) - [j24]Isabelle-Emmanuella Nogues, Jun Wen
Weakly Semi-supervised phenotyping using Electronic Health records. J. Biomed. Informatics 134: 104175 (2022) - [j23]Xuan Wang
SurvMaximin: Robust federated approach to transporting survival risk prediction models. J. Biomed. Informatics 134: 104176 (2022) - [j22]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) - [j21]Harrison G. Zhang
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. npj Digit. Medicine 5 (2022) - [c12]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 - [i10]Yucong Lin, Keming Lu, Sheng Yu, Tianxi Cai, Marinka Zitnik:
Multimodal Learning on Graphs for Disease Relation Extraction. CoRR abs/2203.08893 (2022) - [i9]Doudou Zhou, Yufeng Zhang, Aaron Sonabend W., Zhaoran Wang, Junwei Lu, Tianxi Cai:
Federated Offline Reinforcement Learning. CoRR abs/2206.05581 (2022) - [i8]Tianxi Cai, Dong Xia, Luwan Zhang, Doudou Zhou:
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model. CoRR abs/2209.13762 (2022) - 2021
- [j20]Alon Geva
A high-throughput phenotyping algorithm is portable from adult to pediatric populations. J. Am. Medical Informatics Assoc. 28(6): 1265-1269 (2021) - [j19]Harrison G. Zhang
ATLAS: an automated association test using probabilistically linked health records with application to genetic studies. J. Am. Medical Informatics Assoc. 28(12): 2582-2592 (2021) - [j18]Leonid L. Chepelev, Xuan Wang, Benjamin Gold, Clara-Lea Bonzel, Frank Rybicki Jr, Jennifer W. Uyeda, Adnan Sheikh, Dan Anderson, Jared Lindaman, Greg Mogel, Dimitrios Mitsouras, Mary C. Mahoney, Tianxi Cai, Frank J. Rybicki:
Improved Appropriateness of Advanced Diagnostic Imaging After Implementation of Clinical Decision Support Mechanism. J. Digit. Imaging 34(2): 397-403 (2021) - [j17]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) - [j16]Chuan Hong
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data. npj Digit. Medicine 4 (2021) - [i7]Doudou Zhou, Tianxi Cai, Junwei Lu:
BELT: Blockwise Missing Embedding Learning Transfomer. CoRR abs/2105.10360 (2021) - [i6]Sai Li, Tianxi Cai, Rui Duan:
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach. CoRR abs/2108.12112 (2021) - 2020
- [j15]Yuri Ahuja, Doudou Zhou, Zeling He, Jiehuan Sun, Victor M. Castro, Vivian S. Gainer, Shawn N. Murphy, Chuan Hong, Tianxi Cai:
sureLDA: A multidisease automated phenotyping method for the electronic health record. J. Am. Medical Informatics Assoc. 27(8): 1235-1243 (2020) - [j14]Gabriel A. Brat
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. npj Digit. Medicine 3 (2020) - [c11]Yuri Ahuja, Chuan Hong, Zongqi Xia, Tianxi Cai:
SAMGEP: A Novel Method for Prediction of Phenotype Event Times Using the Electronic Health Record. AMIA 2020 - [c10]Aaron Sonabend W., Junwei Lu, Leo Anthony Celi, Tianxi Cai, Peter Szolovits:
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation. NeurIPS 2020 - [c9]Andrew L. Beam, Benjamin Kompa, Allen Schmaltz, Inbar Fried, Griffin M. Weber, Nathan P. Palmer, Xu Shi, Tianxi Cai, Isaac S. Kohane:
Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data. PSB 2020: 295-306 - [i5]Aaron Sonabend W., Junwei Lu, Leo A. Celi, Tianxi Cai, Peter Szolovits:
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation. CoRR abs/2006.13189 (2020) - [i4]Jessica L. Gronsbell
Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling. CoRR abs/2010.09443 (2020) - [i3]Aaron Sonabend W., Nilanjana Laha, Rajarshi Mukherjee, Tianxi Cai:
Semi-Supervised Off Policy Reinforcement Learning. CoRR abs/2012.04809 (2020)
2010 – 2019
- 2019
- [j13]Wenxin Ning, Stephanie Chan, Andrew Beam, Ming Yu, Alon Geva
Feature extraction for phenotyping from semantic and knowledge resources. J. Biomed. Informatics 91 (2019) - [j12]Luwan Zhang
Automated grouping of medical codes via multiview banded spectral clustering. J. Biomed. Informatics 100 (2019) - [j11]Tianrun A. Cai
EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research. BMC Medical Informatics Decis. Mak. 19(1): 226:1-226:7 (2019) - [c8]Yuri Ahuja, Doudou Zhou, Zeling He, Jiehuan Sun, Victor M. Castro, Vivian S. Gainer, Shawn N. Murphy, Chuan Hong, Tianxi Cai:
sureLDA: A Novel Multi-Disease Automated Phenotyping Method for the Electronic Health Record. AMIA 2019 - 2018
- [j10]Sheng Yu, Yumeng Ma, Jessica L. Gronsbell
Enabling phenotypic big data with PheNorm. J. Am. Medical Informatics Assoc. 25(1): 54-60 (2018) - [j9]Qiu-Yue Zhong
Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing. BMC Medical Informatics Decis. Mak. 18(1): 30:1-30:11 (2018) - [c7]Katherine P. Liao, Jiehuan Sun, Tianrun A. Cai, Nicholas B. Link, Chuan Hong, Jie Huang, Jennifer E. Huffman, Jessica L. Gronsbell, Lauren Costa, Victor M. Castro, Vivian S. Gainer, Shawn N. Murphy, J. Michael Gaziano, Kelly Cho, Peter Szolovits, Isaac S. Kohane, Sheng Yu, Tianxi Cai:
High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS. AMIA 2018 - [i2]Andrew L. Beam, Benjamin Kompa, Inbar Fried, Nathan P. Palmer, Xu Shi, Tianxi Cai, Isaac S. Kohane:
Clinical Concept Embeddings Learned from Massive Sources of Medical Data. CoRR abs/1804.01486 (2018) - 2017
- [j8]Xuefeng Wang, Zhenyu Zhang, Nathan Morris, Tianxi Cai, Seunggeun Lee, Chaolong Wang, Timothy W. Yu
Rare variant association test in family-based sequencing studies. Briefings Bioinform. 18(6): 954-961 (2017) - [j7]Sheng Yu
Surrogate-assisted feature extraction for high-throughput phenotyping. J. Am. Medical Informatics Assoc. 24(e1): e143-e149 (2017) - [c6]Tianrun A. Cai, Andrew Beam, Stephanie Chan, Jacqueline Honerlaw, Yichi Zhang, David R. Gagnon, Kelly Cho, J. Michael Gaziano, Katherine P. Liao, Tianxi Cai:
Improving EHR Chart Review Efficiency via Semantic Similarity Assessment. AMIA 2017 - [c5]David Cheng, Ashwin N. Ananthakrishnan, Tianxi Cai:
Using Electronic Health Records Data for Comparative Effectiveness Research. AMIA 2017 - [c4]Sheng Yu, Yumeng Ma, Jessica L. Gronsbell, Katherine P. Liao, Tianrun A. Cai, Ashwin N. Ananthakrishnan, Vivian S. Gainer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Isaac S. Kohane, Tianxi Cai:
High-throughput Phenotyping via Denoised Normal Mixture Transformation. AMIA 2017 - 2016
- [j6]Matey Neykov, Jun S. Liu, Tianxi Cai:
On the Characterization of a Class of Fisher-Consistent Loss Functions and its Application to Boosting. J. Mach. Learn. Res. 17: 70:1-70:32 (2016) - [j5]Matey Neykov, Jun S. Liu, Tianxi Cai:
L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs. J. Mach. Learn. Res. 17: 87:1-87:37 (2016) - [c3]Alyssa P. Goodson, Andrew Cagan, Vivian S. Gainer, Christopher D. Herrick, Kelly Bell, Tianxi Cai, Shawn N. Murphy:
Defining a Statistically Valid Type 2 Diabetes Cohort in the Partners HealthCare EMR. CRI 2016 - 2015
- [j4]Sheng Yu
Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources. J. Am. Medical Informatics Assoc. 22(5): 993-1000 (2015) - [c2]Uri Kartoun, Vishesh Kumar, Su-Chun Cheng, Sheng Yu, Katherine P. Liao, Elizabeth W. Karlson, Ashwin N. Ananthakrishnan, Zongqi Xia, Vivian S. Gainer, Andrew Cagan, Guergana Savova, Pei J. Chen, Shawn N. Murphy, Susanne E. Churchill, Isaac S. Kohane, Peter Szolovits, Tianxi Cai, Stanley Y. Shaw:
Demonstrating the Advantages of Applying Data Mining Techniques on Time-Dependent Electronic Medical Records. AMIA 2015 - [c1]Shawn N. Murphy, Vivian S. Gainer, Victor M. Castro, Alyssa P. Goodson, Lori C. Phillips, Sheng Yu, Tianxi Cai:
Computable Phenotypes enabled by the i2b2 Validation Platform. AMIA 2015 - 2014
- [j3]Sheng Yu
Classification of CT pulmonary angiography reports by presence, chronicity, and location of pulmonary embolism with natural language processing. J. Biomed. Informatics 52: 386-393 (2014) - 2013
- [i1]Sheng Yu, Tianxi Cai:
A Short Introduction to MiniNLP. CoRR abs/1311.6063 (2013) - 2012
- [j2]Robert J. Carroll, William K. Thompson, Anne E. Eyler, Arthur M. Mandelin, Tianxi Cai, Raquel M. Zink, Jennifer A. Pacheco
Portability of an algorithm to identify rheumatoid arthritis in electronic health records. J. Am. Medical Informatics Assoc. 19(e1) (2012)
2000 – 2009
- 2008
- [j1]Bo Jiang, Xuegong Zhang, Tianxi Cai:
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers. J. Mach. Learn. Res. 9: 521-540 (2008)
Coauthor Index
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