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2020 – today
- 2021
[j16]Alon Geva
, Molei Liu, Vidul A. 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)- [j15]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) - [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
- [j14]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) - [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, 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) - [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, Katherine P. Liao, Mary Mullen, Kenneth D. Mandl, Isaac S. Kohane, Tianxi Cai, Sheng Yu:
Feature extraction for phenotyping from semantic and knowledge resources. J. Biomed. Informatics 91 (2019) - [j12]Luwan Zhang, Yichi Zhang, Tianrun A. Cai, Yuri Ahuja, Zeling He, Yuk-Lam Ho, Andrew Beam, Kelly Cho, Robert Carroll, Joshua C. Denny, Isaac S. Kohane, Katherine P. Liao, Tianxi Cai:
Automated grouping of medical codes via multiview banded spectral clustering. J. Biomed. Informatics 100 (2019) - [j11]Tianrun A. Cai, Luwan Zhang, Nicole Yang, Kanako K. Kumamaru, Frank J. Rybicki, Tianxi Cai, Katherine P. Liao:
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, Tianrun A. Cai, Ashwin N. Ananthakrishnan, Vivian S. Gainer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Isaac S. Kohane, Katherine P. Liao, Tianxi Cai:
Enabling phenotypic big data with PheNorm. J. Am. Medical Informatics Assoc. 25(1): 54-60 (2018) - [j9]Qiu-Yue Zhong, Elizabeth W. Karlson, Bizu Gelaye, Sean Finan, Paul Avillach, Jordan W. Smoller, Tianxi Cai, Michelle A. Williams:
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, Christopher A. Walsh, Xihong Lin:
Rare variant association test in family-based sequencing studies. Briefings Bioinform. 18(6): 954-961 (2017) - [j7]Sheng Yu, Abhishek Chakrabortty, 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:
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 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, Katherine P. Liao, Stanley Y. Shaw, Vivian S. Gainer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Isaac S. Kohane, Tianxi Cai:
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, Kanako K. Kumamaru, Elizabeth George, Ruth M. Dunne, Arash Bedayat, Matey Neykov, Andetta R. Hunsaker, Karin E. Dill, Tianxi Cai, Frank J. Rybicki:
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, Chad S. Boomershine, Thomas A. Lasko, Hua Xu, Elizabeth W. Karlson, Raúl G. Pérez, Vivian S. Gainer, Shawn N. Murphy, Eric M. Ruderman, Richard M. Pope, Robert M. Plenge, Abel N. Kho, Katherine P. Liao, Joshua C. Denny:
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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