Tianxi Cai

According to our database, Tianxi Cai authored at least 68 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LATTE: Label-efficient incident phenotyping from longitudinal electronic health records.

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

Patterns, January, 2024

Multisource representation learning for pediatric knowledge extraction from electronic health records.

Mengyan Li, Xiaoou Li, Kevin Pan, Alon Geva, Doris Yang, Sara Morini Sweet, Clara-Lea Bonzel, Vidul Ayakulangara Panickan, Xin Xiong, Kenneth D. Mandl, Tianxi Cai

npj Digit. Medicine, 2024

Clustering Sequence Data with Mixture Markov Chains with Covariates Using Multiple Simplex Constrained Optimization Routine (MSiCOR).

Priyam Das, Deborshee Sen, Debsurya De, Jue Hou, Zahra Shakeri Hossein Abad, Nicole Kim, Zongqi Xia, Tianxi Cai

J. Comput. Graph. Stat., 2024

Semi-supervised Double Deep Learning Temporal Risk Prediction (SeDDLeR) with Electronic Health Records.

Isabelle-Emmanuella Nogues, Jun Wen, Yihan Zhao, Clara-Lea Bonzel, Victor M. Castro, Yucong Lin, Shike Xu, Jue Hou, Tianxi Cai

J. Biomed. Informatics, 2024

Centralized Interactive Phenomics Resource: an integrated online phenomics knowledgebase for health data users.

Jacqueline Honerlaw, Yuk-Lam Ho, Francesca Fontin, Michael Murray, Ashley Galloway, David Heise, Keith Connatser, Laura Davies, Jeffrey Gosian, Monika Maripuri, John Russo, Rahul Sangar, Vidisha Tanukonda, Edward Zielinski, Maureen Dubreuil, Andrew J. Zimolzak, Vidul Ayakulangara Panickan, Su-Chun Cheng, Stacey B. Whitbourne, David R. Gagnon, Tianxi Cai, Katherine P. Liao, Rachel B. Ramoni, J. Michael Gaziano, Sumitra Muralidhar, Kelly Cho

J. Am. Medical Informatics Assoc., 2024

Unified Representation of Genomic and Biomedical Concepts through Multi-Task, Multi-Source Contrastive Learning.

Hongyi Yuan, Suqi Liu, Kelly Cho, Katherine P. Liao, Alexandre Pereira, Tianxi Cai

CoRR, 2024

Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning.

Suqi Liu, Tianxi Cai, Xiaoou Li

CoRR, 2024

Federated One-Shot Ensemble Clustering.

Rui Duan, Xin Xiong, Jueyi Liu, Katherine P. Liao, Tianxi Cai

CoRR, 2024

Contrastive Learning on Multimodal Analysis of Electronic Health Records.

Tianxi Cai, Feiqing Huang, Ryumei Nakada, Linjun Zhang, Doudou Zhou

CoRR, 2024

2023

Semi-supervised calibration of noisy event risk (SCANER) with electronic health records.

Chuan Hong, Liang Liang, Qianyu Yuan, Kelly Cho, Katherine P. Liao, Michael J. Pencina, David C. Christiani, Tianxi Cai

J. Biomed. Informatics, August, 2023

Framework of the Centralized Interactive Phenomics Resource (CIPHER) standard for electronic health data-based phenomics knowledgebase.

Jacqueline Honerlaw, Yuk-Lam Ho, Francesca Fontin, Jeffrey Gosian, Monika Maripuri, Michael Murray, Rahul Sangar, Ashley Galloway, Andrew J. Zimolzak, Stacey B. Whitbourne, Juan P. Casas, Rachel B. Ramoni, David R. Gagnon, Tianxi Cai, Katherine P. Liao, J. Michael Gaziano, Sumitra Muralidhar, Kelly Cho

J. Am. Medical Informatics Assoc., April, 2023

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?

Amelia L. M. Tan, Emily J. Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez-Sacristán, Trang T. Le, Arianna Dagliati, Michele Morris, David A. Hanauer, Bertrand Moal, Clara-Lea Bonzel, William Yuan, Lorenzo Chiudinelli, Priyam Das, Harrison G. Zhang, Bruce J. Aronow, Paul Avillach, Gabriel A. Brat, Tianxi Cai, Chuan Hong, William G. La Cava, He Hooi Will Loh, Yuan Luo, Shawn N. Murphy, Kee Yuan Hgiam, Gilbert S. Omenn, Lav P. Patel, Malarkodi J. Samayamuthu, Emily R. Shriver, Zahra Shakeri Hossein Abad, Byorn W. L. Tan, Shyam Visweswaran, Xuan Wang, Griffin M. Weber, Zongqi Xia, Bertrand Verdy, Qi Long, Danielle L. Mowery, John H. Holmes

J. Biomed. Informatics, March, 2023

Multimodal representation learning for predicting molecule-disease relations.

Jun Wen, Xiang Zhang, Everett Neil Rush, Vidul Ayakulangara Panickan, Xingyu Li, Tianrun Cai, Doudou Zhou, Yuk-Lam Ho, Lauren Costa, Edmon Begoli, Chuan Hong, J. Michael Gaziano, Kelly Cho, Junwei Lu, Katherine P. Liao, Marinka Zitnik, Tianxi Cai

Bioinform., February, 2023

Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices.

Doudou Zhou, Tianxi Cai, Junwei Lu

J. Mach. Learn. Res., 2023

Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes.

Aaron Sonabend W., Nilanjana Laha, Ashwin N. Ananthakrishnan, Tianxi Cai, Rajarshi Mukherjee

J. Mach. Learn. Res., 2023

Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models.

Molei Liu, Yi Zhang, Katherine P. Liao, Tianxi Cai

J. Mach. Learn. Res., 2023

Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction.

Jue Hou, Zijian Guo, Tianxi Cai

J. Mach. Learn. Res., 2023

Multimodal learning on graphs for disease relation extraction.

Yucong Lin, Keming Lu, Sheng Yu, Tianxi Cai, Marinka Zitnik

J. Biomed. Informatics, 2023

Distributionally Robust Transfer Learning.

Xin Xiong, Zijian Guo, Tianxi Cai

CoRR, 2023

TAXN: Translate Align Extract Normalize, a Multilingual Extraction Tool for Clinical Texts.

Antoine Neuraz, Ivan Lerner, Olivier Birot, Camila Arias, Larry Han, Clara-Lea Bonzel, Tianxi Cai, Kim Tâm Huynh, Adrien Coulet

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Prompt Discriminative Language Models for Domain Adaptation.

Keming Lu, Peter Potash, Xihui Lin, Yuwen Sun, Zihan Qian, Zheng Yuan, Tristan Naumann, Tianxi Cai, Junwei Lu

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.

Harrison G. Zhang, Arianna Dagliati, Zahra Shakeri Hossein Abad, Xin Xiong, Clara-Lea Bonzel, Zongqi Xia, Bryce W. Q. Tan, Paul Avillach, Gabriel A. Brat, Chuan Hong, Michele Morris, Shyam Visweswaran, Lav P. Patel, Alba Gutiérrez-Sacristán, David A. Hanauer, John H. Holmes, Malarkodi Jebathilagam Samayamuthu, Florence T. Bourgeois, Sehi L'Yi, Sarah E. Maidlow, Bertrand Moal, Shawn N. Murphy, Zachary H. Strasser, Antoine Neuraz, Kee Yuan Ngiam, Ne-Hooi Will Loh, Gilbert S. Omenn, Andrea Prunotto, Lauren A. Dalvin, Jeffrey G. Klann, Petra Schubert, Fernando J. Sanz Vidorreta, Vincent Benoit, Guillaume Verdy, Ramakanth Kavuluru, Hossein Estiri, Yuan Luo, Alberto Malovini, Valentina Tibollo, Riccardo Bellazzi, Kelly Cho, Yuk-Lam Ho, Amelia L. M. Tan, Byorn W. L. Tan, Nils Gehlenborg, Sara Lozano-Zahonero, Vianney Jouhet, Luca Chiovato, Bruce J. Aronow, Emma M. S. Toh, Wei Gen Scott Wong, Sara Pizzimenti, Kavishwar B. Wagholikar, Mauro Bucalo, Tianxi Cai, Andrew M. South, Isaac S. Kohane, Griffin M. Weber

npj Digit. Medicine, 2022

Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping.

Yichi Zhang, Molei Liu, Matey Neykov, Tianxi Cai

J. Mach. Learn. Res., 2022

Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization.

Doudou Zhou, Ziming Gan, Xu Shi, Alina Patwari, Everett Neil Rush, Clara-Lea Bonzel, Vidul Ayakulangara Panickan, Chuan Hong, Yuk-Lam Ho, Tianrun Cai, Lauren Costa, Xiaoou Li, Victor M. Castro, Shawn N. Murphy, Gabriel A. Brat, Griffin M. Weber, Paul Avillach, J. Michael Gaziano, Kelly Cho, Katherine P. Liao, Junwei Lu, Tianxi Cai

J. Biomed. Informatics, 2022

SurvMaximin: Robust federated approach to transporting survival risk prediction models.

Xuan Wang, Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat, Clara-Lea Bonzel, Yuan Luo, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann, Sehi L'Yi, Sara Lozano-Zahonero, Sarah E. Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera-Jiménez, Andrea Prunotto, Malarkodi J. Samayamuthu, Fernando J. Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M. South, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai

J. Biomed. Informatics, 2022

Weakly Semi-supervised phenotyping using Electronic Health records.

Isabelle-Emmanuella Nogues, Jun Wen, Yucong Lin, Molei Liu, Sara K. Tedeschi, Alon Geva, Tianxi Cai, Chuan Hong

J. Biomed. Informatics, 2022

Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review.

Tianrun Cai, Zeling He, Chuan Hong, Yichi Zhang, Yuk-Lam Ho, Jacqueline Honerlaw, Alon Geva, Vidul Ayakulangara Panickan, Amanda King, David R. Gagnon, J. Michael Gaziano, Kelly Cho, Katherine P. Liao, Tianxi Cai

J. Biomed. Informatics, 2022

Binary acronym disambiguation in clinical notes from electronic health records with an application in computational phenotyping.

Nicholas B. Link, Sicong Huang, Tianrun Cai, Jiehuan Sun, Kumar Dahal, Lauren Costa, Kelly Cho, Katherine P. Liao, Tianxi Cai, Chuan Hong

Int. J. Medical Informatics, 2022

Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model.

Tianxi Cai, Dong Xia, Luwan Zhang, Doudou Zhou

CoRR, 2022

Federated Offline Reinforcement Learning.

Doudou Zhou, Yufeng Zhang, Aaron Sonabend W., Zhaoran Wang, Junwei Lu, Tianxi Cai

CoRR, 2022

Knowledge-Driven Online Multimodal Automated Phenotyping System.

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

Proceedings of the AMIA 2022, 2022

2021

Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data.

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

npj Digit. Medicine, 2021

Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints.

Molei Liu, Yin Xia, Kelly Cho, Tianxi Cai

J. Mach. Learn. Res., 2021

Improved Appropriateness of Advanced Diagnostic Imaging After Implementation of Clinical Decision Support Mechanism.

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

J. Digit. Imaging, 2021

ATLAS: an automated association test using probabilistically linked health records with application to genetic studies.

Harrison G. Zhang, Boris P. Hejblum, Griffin M. Weber, Nathan P. Palmer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Katherine P. Liao, Isaac S. Kohane, Tianxi Cai

J. Am. Medical Informatics Assoc., 2021

A high-throughput phenotyping algorithm is portable from adult to pediatric populations.

Alon Geva, Molei Liu, Vidul Ayakulangara Panickan, Paul Avillach, Tianxi Cai, Kenneth D. Mandl

J. Am. Medical Informatics Assoc., 2021

Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach.

Sai Li, Tianxi Cai, Rui Duan

CoRR, 2021

BELT: Blockwise Missing Embedding Learning Transfomer.

Doudou Zhou, Tianxi Cai, Junwei Lu

CoRR, 2021

2020

International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.

Gabriel A. Brat, Griffin M. Weber, Nils Gehlenborg, Paul Avillach, Nathan P. Palmer, Luca Chiovato, James J. Cimino, Lemuel R. Waitman, Gilbert S. Omenn, Alberto Malovini, Jason H. Moore, Brett K. Beaulieu-Jones, Valentina Tibollo, Shawn N. Murphy, Sehi L'Yi, Mark S. Keller, Riccardo Bellazzi, David A. Hanauer, Arnaud Serret-Larmande, Alba Gutiérrez-Sacristán, John J. Holmes, Douglas S. Bell, Kenneth D. Mandl, Robert W. Follett, Jeffrey G. Klann, Douglas A. Murad, Luigia Scudeller, Mauro Bucalo, Katie G. Kirchoff, Jean B. Craig, Jihad S. Obeid, Vianney Jouhet, Romain Griffier, Sébastien Cossin, Bertrand Moal, Lav P. Patel, Antonio Bellasi, Hans-Ulrich Prokosch, Detlef Kraska, Piotr Sliz, Amelia L. M. Tan, Kee Yuan Ngiam, Alberto Zambelli, Danielle L. Mowery, Emily Schriver, Batsal Devkota, Robert L. Bradford, Mohamad Daniar, Christel Daniel, Vincent Benoit, Romain Bey, Nicolas Paris, Patricia Serre, Nina Orlova, Julien Dubiel, Martin Hilka, Anne-Sophie Jannot, Stéphane Bréant, Judith Leblanc, Nicolas Griffon, Anita Burgun, Mélodie Bernaux, Arnaud Sandrin, Elisa Salamanca, Sylvie Cormont, Thomas Ganslandt, Tobias Gradinger, Julien Champ, Martin Boeker, Patricia Martel, Loic Estève, Alexandre Gramfort, Olivier Grisel, Damien Leprovost, Thomas Moreau, Gaël Varoquaux, Jill-Jênn Vie, Demian Wassermann, Arthur Mensch, Charlotte Caucheteux, Christian Haverkamp, Guillaume Lemaitre, Silvano Bosari, Ian D. Krantz, Andrew M. South, Tianxi Cai, Isaac S. Kohane

npj Digit. Medicine, 2020

sureLDA: A multidisease automated phenotyping method for the electronic health record.

Yuri Ahuja, Doudou Zhou, Zeling He, Jiehuan Sun, Victor M. Castro, Vivian S. Gainer, Shawn N. Murphy, Chuan Hong, Tianxi Cai

J. Am. Medical Informatics Assoc., 2020

Semi-Supervised Off Policy Reinforcement Learning.

Aaron Sonabend W., Nilanjana Laha, Rajarshi Mukherjee, Tianxi Cai

CoRR, 2020

Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling.

Jessica L. Gronsbell, Molei Liu, Lu Tian, Tianxi Cai

CoRR, 2020

Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data.

Andrew L. Beam, Benjamin Kompa, Allen Schmaltz, Inbar Fried, Griffin M. Weber, Nathan P. Palmer, Xu Shi, Tianxi Cai, Isaac S. Kohane

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation.

Aaron Sonabend W., Junwei Lu, Leo Anthony Celi, Tianxi Cai, Peter Szolovits

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SAMGEP: A Novel Method for Prediction of Phenotype Event Times Using the Electronic Health Record.

Yuri Ahuja, Chuan Hong, Zongqi Xia, Tianxi Cai

Proceedings of the AMIA 2020, 2020

2019

EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research.

Tianrun A. Cai, Luwan Zhang, Nicole Yang, Kanako K. Kumamaru, Frank J. Rybicki, Tianxi Cai, Katherine P. Liao

BMC Medical Informatics Decis. Mak., 2019

Automated grouping of medical codes via multiview banded spectral clustering.

Luwan Zhang, Yichi Zhang, Tianrun A. Cai, Yuri Ahuja, Zeling He, Yuk-Lam Ho, Andrew Beam, Kelly Cho, Robert J. Carroll, Joshua C. Denny, Isaac S. Kohane, Katherine P. Liao, Tianxi Cai

J. Biomed. Informatics, 2019

Feature extraction for phenotyping from semantic and knowledge resources.

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

J. Biomed. Informatics, 2019

sureLDA: A Novel Multi-Disease Automated Phenotyping Method for the Electronic Health Record.

Yuri Ahuja, Doudou Zhou, Zeling He, Jiehuan Sun, Victor M. Castro, Vivian S. Gainer, Shawn N. Murphy, Chuan Hong, Tianxi Cai

Proceedings of the AMIA 2019, 2019

2018

Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing.

Qiu-Yue Zhong, Elizabeth W. Karlson, Bizu Gelaye, Sean Finan, Paul Avillach, Jordan W. Smoller, Tianxi Cai, Michelle A. Williams

BMC Medical Informatics Decis. Mak., 2018

Enabling phenotypic big data with PheNorm.

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

J. Am. Medical Informatics Assoc., 2018

Clinical Concept Embeddings Learned from Massive Sources of Medical Data.

Andrew L. Beam, Benjamin Kompa, Inbar Fried, Nathan P. Palmer, Xu Shi, Tianxi Cai, Isaac S. Kohane

CoRR, 2018

High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS.

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

Proceedings of the AMIA 2018, 2018

2017

Surrogate-assisted feature extraction for high-throughput phenotyping.

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

J. Am. Medical Informatics Assoc., 2017

Rare variant association test in family-based sequencing studies.

Xuefeng Wang, Zhenyu Zhang, Nathan Morris, Tianxi Cai, Seunggeun Lee, Chaolong Wang, Timothy W. Yu, Christopher A. Walsh, Xihong Lin

Briefings Bioinform., 2017

High-throughput Phenotyping via Denoised Normal Mixture Transformation.

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

Proceedings of the AMIA 2017, 2017

Using Electronic Health Records Data for Comparative Effectiveness Research.

David Cheng, Ashwin N. Ananthakrishnan, Tianxi Cai

Proceedings of the AMIA 2017, 2017

Improving EHR Chart Review Efficiency via Semantic Similarity Assessment.

Tianrun A. Cai, Andrew Beam, Stephanie Chan, Jacqueline Honerlaw, Yichi Zhang, David R. Gagnon, Kelly Cho, J. Michael Gaziano, Katherine P. Liao, Tianxi Cai

Proceedings of the AMIA 2017, 2017

2016

L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs.

Matey Neykov, Jun S. Liu, Tianxi Cai

J. Mach. Learn. Res., 2016

On the Characterization of a Class of Fisher-Consistent Loss Functions and its Application to Boosting.

Matey Neykov, Jun S. Liu, Tianxi Cai

J. Mach. Learn. Res., 2016

Defining a Statistically Valid Type 2 Diabetes Cohort in the Partners HealthCare EMR.

Alyssa P. Goodson, Andrew Cagan, Vivian S. Gainer, Christopher D. Herrick, Kelly Bell, Tianxi Cai, Shawn N. Murphy

Proceedings of the Summit on Clinical Research Informatics, 2016

2015

Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources.

Sheng Yu, Katherine P. Liao, Stanley Y. Shaw, Vivian S. Gainer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Isaac S. Kohane, Tianxi Cai

J. Am. Medical Informatics Assoc., 2015

Computable Phenotypes enabled by the i2b2 Validation Platform.

Shawn N. Murphy, Vivian S. Gainer, Victor M. Castro, Alyssa P. Goodson, Lori C. Phillips, Sheng Yu, Tianxi Cai

Proceedings of the AMIA 2015, 2015

Demonstrating the Advantages of Applying Data Mining Techniques on Time-Dependent Electronic Medical Records.

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

Proceedings of the AMIA 2015, 2015

2014

Classification of CT pulmonary angiography reports by presence, chronicity, and location of pulmonary embolism with natural language processing.

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

J. Biomed. Informatics, 2014

2013

A Short Introduction to MiniNLP.

Sheng Yu, Tianxi Cai

CoRR, 2013

2012

Portability of an algorithm to identify rheumatoid arthritis in electronic health records.

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

J. Am. Medical Informatics Assoc., 2012

2008

Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers.

Bo Jiang, Xuegong Zhang, Tianxi Cai

J. Mach. Learn. Res., 2008