ARCH: Large-scale knowledge graph via aggregated narrative codified health records analysis. - Gan, Ziming; Zhou, Doudou; Rush, Everett Neil; Panickan, Vidul Ayakulangara; Ho, Yuk-Lam; Ostrouchov, George; Xu, Zhiwei; Shen, Shuting; Xiong, Xin; Greco, Kimberly F.; Hong, Chuan; Bonzel, Clara-Lea; et al. (J. Biomed. Informatics, 2025)

DOME: Directional medical embedding vectors from Electronic Health Records. - Wen, Jun; Xue, Hao; Rush, Everett Neil; Panickan, Vidul Ayakulangara; Cai, Tianrun; Zhou, Doudou; Ho, Yuk-Lam; Costa, Lauren; Begoli, Edmon; Hong, Chuan; Gaziano, J. Michael; Cho, Kelly; et al. (J. Biomed. Informatics, 2025)

Label efficient phenotyping for Long COVID using electronic health records. - Hong, Chuan; Wen, Jun; Zhang, Harrison G.; Panickan, Vidul Ayakulangara; Yang, Doris; Chen, Alicia W.; Xiong, Xin; Wang, Xuan; Morris, Michele; Morini, Sara; Sangar, Rahul; Dey, Andrew; et al. (npj Digit. Medicine, 2025)

GENIE: Generative Note Information Extraction model for structuring EHR data. - Ying, Huaiyuan; Yuan, Hongyi; Lu, Jinsen; Qu, Zitian; Zhao, Yang; Zhao, Zhengyun; Kohane, Isaac S.; Cai, Tianxi; Yu, Sheng (CoRR, 2025)

Representation Learning to Advance Multi-institutional Studies with Electronic Health Record Data. - Zhou, Doudou; Tong, Han; Wang, Linshanshan; Liu, Suqi; Xiong, Xin; Gan, Ziming; Griffier, Romain; Hejblum, Boris P.; Liu, Yun-Chung; Hong, Chuan; Bonzel, Clara-Lea; Cai, Tianrun; et al. (CoRR, 2025)

A Theoretical Framework for Prompt Engineering: Approximating Smooth Functions with Transformer Prompts. - Nakada, Ryumei; Ji, Wenlong; Cai, Tianxi; Zou, James; Zhang, Linjun (CoRR, 2025)

Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data. - Wang, Linshanshan; Li, Mengyan; Xia, Zongqi; Liu, Molei; Cai, Tianxi (CoRR, 2025)

Generalized Linear Markov Decision Process. - Zhang, Sinian; Zhang, Kaicheng; Xu, Ziping; Cai, Tianxi; Zhou, Doudou (CoRR, 2025)

One Patient, Many Contexts: Scaling Medical AI Through Contextual Intelligence. - Li, Michelle M.; Reis, Ben Y.; Rodman, Adam; Cai, Tianxi; Dagan, Noa; Balicer, Ran D.; Loscalzo, Joseph; Kohane, Isaac S.; Zitnik, Marinka (CoRR, 2025)

CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition. - Wang, Zebin; Lin, Menghan; Shen, Bolin; Anderson, Ken; Liu, Molei; Cai, Tianxi; Dong, Yushun (CoRR, 2025)

A Weakly Supervised Transformer to Support Rare Disease Diagnosis from Electronic Health Records: Methods and Applications in Rare Pulmonary Disease. - Greco, Kimberly F.; Yang, Zongxin; Li, Mengyan; Tong, Han; Sweet, Sara Morini; Geva, Alon; Mandl, Kenneth D.; Raby, Benjamin A.; Cai, Tianxi (CoRR, 2025)

Centralized Interactive Phenomics Resource: an integrated online phenomics knowledgebase for health data users. - Honerlaw, Jacqueline; Ho, Yuk-Lam; Fontin, Francesca; Murray, Michael; Galloway, Ashley; Heise, David; Connatser, Keith; Davies, Laura; Gosian, Jeffrey; Maripuri, Monika; Russo, John; Sangar, Rahul; et al. (J. Am. Medical Informatics Assoc., 2024)

Semi-supervised Double Deep Learning Temporal Risk Prediction (SeDDLeR) with Electronic Health Records. - Nogues, Isabelle-Emmanuella; Wen, Jun; Zhao, Yihan; Bonzel, Clara-Lea; Castro, Victor M.; Lin, Yucong; Xu, Shike; Hou, Jue; Cai, Tianxi (J. Biomed. Informatics, 2024)

Clustering Sequence Data with Mixture Markov Chains with Covariates Using Multiple Simplex Constrained Optimization Routine (MSiCOR). - Das, Priyam; Sen, Deborshee; De, Debsurya; Hou, Jue; Abad, Zahra Shakeri Hossein; Kim, Nicole; Xia, Zongqi; Cai, Tianxi (J. Comput. Graph. Stat., 2024)

Multisource representation learning for pediatric knowledge extraction from electronic health records. - Li, Mengyan; Li, Xiaoou; Pan, Kevin; Geva, Alon; Yang, Doris; Sweet, Sara Morini; Bonzel, Clara-Lea; Panickan, Vidul Ayakulangara; Xiong, Xin; Mandl, Kenneth D.; Cai, Tianxi (npj Digit. Medicine, 2024)

LATTE: Label-efficient incident phenotyping from longitudinal electronic health records. - Wen, Jun; Hou, Jue; Bonzel, Clara-Lea; Zhao, Yihan; Castro, Victor M.; Gainer, Vivian S.; Weisenfeld, Dana; Cai, Tianrun; Ho, Yuk-Lam; Panickan, Vidul Ayakulangara; Costa, Lauren; Hong, Chuan; et al. (Patterns, 2024)

A teacher-teacher framework for clinical language representation learning. - Huang, Feiqing; Zhang, Shenghan; Sweet, Sara Morini; Cai, Tianxi (2024)

Contrastive Learning on Multimodal Analysis of Electronic Health Records. - Cai, Tianxi; Huang, Feiqing; Nakada, Ryumei; Zhang, Linjun; Zhou, Doudou (CoRR, 2024)

Federated One-Shot Ensemble Clustering. - Duan, Rui; Xiong, Xin; Liu, Jueyi; Liao, Katherine P.; Cai, Tianxi (CoRR, 2024)

Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning. - Liu, Suqi; Cai, Tianxi; Li, Xiaoou (CoRR, 2024)

Unified Representation of Genomic and Biomedical Concepts through Multi-Task, Multi-Source Contrastive Learning. - Yuan, Hongyi; Liu, Suqi; Cho, Kelly; Liao, Katherine P.; Pereira, Alexandre; Cai, Tianxi (CoRR, 2024)

Multimodal representation learning for predicting molecule-disease relations. - Wen, Jun; Zhang, Xiang; Rush, Everett Neil; Panickan, Vidul Ayakulangara; Li, Xingyu; Cai, Tianrun; Zhou, Doudou; Ho, Yuk-Lam; Costa, Lauren; Begoli, Edmon; Hong, Chuan; Gaziano, J. Michael; et al. (Bioinform., 2023)

Framework of the Centralized Interactive Phenomics Resource (CIPHER) standard for electronic health data-based phenomics knowledgebase. - Honerlaw, Jacqueline; Ho, Yuk-Lam; Fontin, Francesca; Gosian, Jeffrey; Maripuri, Monika; Murray, Michael; Sangar, Rahul; Galloway, Ashley; Zimolzak, Andrew J.; Whitbourne, Stacey B.; Casas, Juan P.; Ramoni, Rachel B.; et al. (J. Am. Medical Informatics Assoc., 2023)

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? - Tan, Amelia L. M.; Getzen, Emily J.; Hutch, Meghan R.; Strasser, Zachary H.; Gutiérrez-Sacristán, Alba; Le, Trang T.; Dagliati, Arianna; Morris, Michele; Hanauer, David A.; Moal, Bertrand; Bonzel, Clara-Lea; Yuan, William; et al. (J. Biomed. Informatics, 2023)

Multimodal learning on graphs for disease relation extraction. - Lin, Yucong; Lu, Keming; Yu, Sheng; Cai, Tianxi; Zitnik, Marinka (J. Biomed. Informatics, 2023)

Semi-supervised calibration of noisy event risk (SCANER) with electronic health records. - Hong, Chuan; Liang, Liang; Yuan, Qianyu; Cho, Kelly; Liao, Katherine P.; Pencina, Michael J.; Christiani, David C.; Cai, Tianxi (J. Biomed. Informatics, 2023)

Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices. - Zhou, Doudou; Cai, Tianxi; Lu, Junwei (J. Mach. Learn. Res., 2023)

Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction. - Hou, Jue; Guo, Zijian; Cai, Tianxi (J. Mach. Learn. Res., 2023)

Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models. - Liu, Molei; Zhang, Yi; Liao, Katherine P.; Cai, Tianxi (J. Mach. Learn. Res., 2023)

Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes. - W., Aaron Sonabend; Laha, Nilanjana; Ananthakrishnan, Ashwin N.; Cai, Tianxi; Mukherjee, Rajarshi (J. Mach. Learn. Res., 2023)

Prompt Discriminative Language Models for Domain Adaptation. - Lu, Keming; Potash, Peter; Lin, Xihui; Sun, Yuwen; Qian, Zihan; Yuan, Zheng; Naumann, Tristan; Cai, Tianxi; Lu, Junwei (2023)

TAXN: Translate Align Extract Normalize, a Multilingual Extraction Tool for Clinical Texts. - Neuraz, Antoine; Lerner, Ivan; Birot, Olivier; Arias, Camila; Han, Larry; Bonzel, Clara-Lea; Cai, Tianxi; Huynh, Kim Tâm; Coulet, Adrien (2023)

LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health Records. - Wen, Jun; Hou, Jue; Bonzel, Clara-Lea; Zhao, Yihan; Castro, Victor M.; Gainer, Vivian S.; Weisenfeld, Dana; Cai, Tianrun; Ho, Yuk-Lam; Panickan, Vidul Ayakulangara; Costa, Lauren; Hong, Chuan; et al. (CoRR, 2023)

Distributionally Robust Transfer Learning. - Xiong, Xin; Guo, Zijian; Cai, Tianxi (CoRR, 2023)

Binary acronym disambiguation in clinical notes from electronic health records with an application in computational phenotyping. - Link, Nicholas B.; Huang, Sicong; Cai, Tianrun; Sun, Jiehuan; Dahal, Kumar; Costa, Lauren; Cho, Kelly; Liao, Katherine P.; Cai, Tianxi; Hong, Chuan (Int. J. Medical Informatics, 2022)

Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review. - Cai, Tianrun; He, Zeling; Hong, Chuan; Zhang, Yichi; Ho, Yuk-Lam; Honerlaw, Jacqueline; Geva, Alon; Panickan, Vidul Ayakulangara; King, Amanda; Gagnon, David R.; Gaziano, J. Michael; Cho, Kelly; et al. (J. Biomed. Informatics, 2022)

Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization. - Zhou, Doudou; Gan, Ziming; Shi, Xu; Patwari, Alina; Rush, Everett Neil; Bonzel, Clara-Lea; Panickan, Vidul Ayakulangara; Hong, Chuan; Ho, Yuk-Lam; Cai, Tianrun; Costa, Lauren; Li, Xiaoou; et al. (J. Biomed. Informatics, 2022)

Weakly Semi-supervised phenotyping using Electronic Health records. - Nogues, Isabelle-Emmanuella; Wen, Jun; Lin, Yucong; Liu, Molei; Tedeschi, Sara K.; Geva, Alon; Cai, Tianxi; Hong, Chuan (J. Biomed. Informatics, 2022)

SurvMaximin: Robust federated approach to transporting survival risk prediction models. - Wang, Xuan; Zhang, Harrison G.; Xiong, Xin; Hong, Chuan; Weber, Griffin M.; Brat, Gabriel A.; Bonzel, Clara-Lea; Luo, Yuan; Duan, Rui; Palmer, Nathan P.; Hutch, Meghan R.; Gutiérrez-Sacristán, Alba; et al. (J. Biomed. Informatics, 2022)

Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping. - Zhang, Yichi; Liu, Molei; Neykov, Matey; Cai, Tianxi (J. Mach. Learn. Res., 2022)

International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. - Zhang, Harrison G.; Dagliati, Arianna; Abad, Zahra Shakeri Hossein; Xiong, Xin; Bonzel, Clara-Lea; Xia, Zongqi; Tan, Bryce W. Q.; Avillach, Paul; Brat, Gabriel A.; Hong, Chuan; Morris, Michele; Visweswaran, Shyam; et al. (npj Digit. Medicine, 2022)

Knowledge-Driven Online Multimodal Automated Phenotyping System. - Liu, Molei; Morini, Sara; Xiong, Xin; Hong, Chuan; Bonzel, Clara-Lea; Panickan, Vidul Ayakulangara; Rush, Everett Neil; Ho, Yuk-Lam; Cho, Kelly; Gaziano, J. Michael; Liao, Katherine P.; Cai, Tianxi; et al. (2022)

Multimodal Learning on Graphs for Disease Relation Extraction. - Lin, Yucong; Lu, Keming; Yu, Sheng; Cai, Tianxi; Zitnik, Marinka (CoRR, 2022)

Federated Offline Reinforcement Learning. - Zhou, Doudou; Zhang, Yufeng; W., Aaron Sonabend; Wang, Zhaoran; Lu, Junwei; Cai, Tianxi (CoRR, 2022)

Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model. - Cai, Tianxi; Xia, Dong; Zhang, Luwan; Zhou, Doudou (CoRR, 2022)

A high-throughput phenotyping algorithm is portable from adult to pediatric populations. - Geva, Alon; Liu, Molei; Panickan, Vidul Ayakulangara; Avillach, Paul; Cai, Tianxi; Mandl, Kenneth D. (J. Am. Medical Informatics Assoc., 2021)

ATLAS: an automated association test using probabilistically linked health records with application to genetic studies. - Zhang, Harrison G.; Hejblum, Boris P.; Weber, Griffin M.; Palmer, Nathan P.; Churchill, Susanne E.; Szolovits, Peter; Murphy, Shawn N.; Liao, Katherine P.; Kohane, Isaac S.; Cai, Tianxi (J. Am. Medical Informatics Assoc., 2021)

Improved Appropriateness of Advanced Diagnostic Imaging After Implementation of Clinical Decision Support Mechanism. - Chepelev, Leonid L.; Wang, Xuan; Gold, Benjamin; Bonzel, Clara-Lea; Jr, Frank Rybicki; Uyeda, Jennifer W.; Sheikh, Adnan; Anderson, Dan; Lindaman, Jared; Mogel, Greg; Mitsouras, Dimitrios; Mahoney, Mary C.; et al. (J. Digit. Imaging, 2021)

Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints. - Liu, Molei; Xia, Yin; Cho, Kelly; Cai, Tianxi (J. Mach. Learn. Res., 2021)

Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data. - Hong, Chuan; Rush, Everett Neil; Liu, Molei; Zhou, Doudou; Sun, Jiehuan; W., Aaron Sonabend; Castro, Victor M.; Schubert, Petra; Panickan, Vidul Ayakulangara; Cai, Tianrun; Costa, Lauren; He, Zeling; et al. (npj Digit. Medicine, 2021)

BELT: Blockwise Missing Embedding Learning Transfomer. - Zhou, Doudou; Cai, Tianxi; Lu, Junwei (CoRR, 2021)

Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach. - Li, Sai; Cai, Tianxi; Duan, Rui (CoRR, 2021)

sureLDA: A multidisease automated phenotyping method for the electronic health record. - Ahuja, Yuri; Zhou, Doudou; He, Zeling; Sun, Jiehuan; Castro, Victor M.; Gainer, Vivian S.; Murphy, Shawn N.; Hong, Chuan; Cai, Tianxi (J. Am. Medical Informatics Assoc., 2020)

International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. - Brat, Gabriel A.; Weber, Griffin M.; Gehlenborg, Nils; Avillach, Paul; Palmer, Nathan P.; Chiovato, Luca; Cimino, James J.; Waitman, Lemuel R.; Omenn, Gilbert S.; Malovini, Alberto; Moore, Jason H.; Beaulieu-Jones, Brett K.; et al. (npj Digit. Medicine, 2020)

SAMGEP: A Novel Method for Prediction of Phenotype Event Times Using the Electronic Health Record. - Ahuja, Yuri; Hong, Chuan; Xia, Zongqi; Cai, Tianxi (2020)

Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation. - W., Aaron Sonabend; Lu, Junwei; Celi, Leo Anthony; Cai, Tianxi; Szolovits, Peter (2020)

Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data. - Beam, Andrew L.; Kompa, Benjamin; Schmaltz, Allen; Fried, Inbar; Weber, Griffin M.; Palmer, Nathan P.; Shi, Xu; Cai, Tianxi; Kohane, Isaac S. (2020)

Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation. - W., Aaron Sonabend; Lu, Junwei; Celi, Leo A.; Cai, Tianxi; Szolovits, Peter (CoRR, 2020)

Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling. - Gronsbell, Jessica L.; Liu, Molei; Tian, Lu; Cai, Tianxi (CoRR, 2020)

Semi-Supervised Off Policy Reinforcement Learning. - W., Aaron Sonabend; Laha, Nilanjana; Mukherjee, Rajarshi; Cai, Tianxi (CoRR, 2020)

Feature extraction for phenotyping from semantic and knowledge resources. - Ning, Wenxin; Chan, Stephanie; Beam, Andrew; Yu, Ming; Geva, Alon; Liao, Katherine P.; Mullen, Mary; Mandl, Kenneth D.; Kohane, Isaac S.; Cai, Tianxi; Yu, Sheng (J. Biomed. Informatics, 2019)

Automated grouping of medical codes via multiview banded spectral clustering. - Zhang, Luwan; Zhang, Yichi; Cai, Tianrun A.; Ahuja, Yuri; He, Zeling; Ho, Yuk-Lam; Beam, Andrew; Cho, Kelly; Carroll, Robert J.; Denny, Joshua C.; Kohane, Isaac S.; Liao, Katherine P.; et al. (J. Biomed. Informatics, 2019)

EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research. - Cai, Tianrun A.; Zhang, Luwan; Yang, Nicole; Kumamaru, Kanako K.; Rybicki, Frank J.; Cai, Tianxi; Liao, Katherine P. (BMC Medical Informatics Decis. Mak., 2019)

sureLDA: A Novel Multi-Disease Automated Phenotyping Method for the Electronic Health Record. - Ahuja, Yuri; Zhou, Doudou; He, Zeling; Sun, Jiehuan; Castro, Victor M.; Gainer, Vivian S.; Murphy, Shawn N.; Hong, Chuan; Cai, Tianxi (2019)

Enabling phenotypic big data with PheNorm. - Yu, Sheng; Ma, Yumeng; Gronsbell, Jessica L.; Cai, Tianrun A.; Ananthakrishnan, Ashwin N.; Gainer, Vivian S.; Churchill, Susanne E.; Szolovits, Peter; Murphy, Shawn N.; Kohane, Isaac S.; Liao, Katherine P.; Cai, Tianxi (J. Am. Medical Informatics Assoc., 2018)

Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing. - Zhong, Qiu-Yue; Karlson, Elizabeth W.; Gelaye, Bizu; Finan, Sean; Avillach, Paul; Smoller, Jordan W.; Cai, Tianxi; Williams, Michelle A. (BMC Medical Informatics Decis. Mak., 2018)

High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS. - Liao, Katherine P.; Sun, Jiehuan; Cai, Tianrun A.; Link, Nicholas B.; Hong, Chuan; Huang, Jie; Huffman, Jennifer E.; Gronsbell, Jessica L.; Costa, Lauren; Castro, Victor M.; Gainer, Vivian S.; Murphy, Shawn N.; et al. (2018)

Clinical Concept Embeddings Learned from Massive Sources of Medical Data. - Beam, Andrew L.; Kompa, Benjamin; Fried, Inbar; Palmer, Nathan P.; Shi, Xu; Cai, Tianxi; Kohane, Isaac S. (CoRR, 2018)

Rare variant association test in family-based sequencing studies. - Wang, Xuefeng; Zhang, Zhenyu; Morris, Nathan; Cai, Tianxi; Lee, Seunggeun; Wang, Chaolong; Yu, Timothy W.; Walsh, Christopher A.; Lin, Xihong (Briefings Bioinform., 2017)

Surrogate-assisted feature extraction for high-throughput phenotyping. - Yu, Sheng; Chakrabortty, Abhishek; Liao, Katherine P.; Cai, Tianrun A.; Ananthakrishnan, Ashwin N.; Gainer, Vivian S.; Churchill, Susanne E.; Szolovits, Peter; Murphy, Shawn N.; Kohane, Isaac S.; Cai, Tianxi (J. Am. Medical Informatics Assoc., 2017)

Improving EHR Chart Review Efficiency via Semantic Similarity Assessment. - Cai, Tianrun A.; Beam, Andrew; Chan, Stephanie; Honerlaw, Jacqueline; Zhang, Yichi; Gagnon, David R.; Cho, Kelly; Gaziano, J. Michael; Liao, Katherine P.; Cai, Tianxi (2017)

Using Electronic Health Records Data for Comparative Effectiveness Research. - Cheng, David; Ananthakrishnan, Ashwin N.; Cai, Tianxi (2017)

High-throughput Phenotyping via Denoised Normal Mixture Transformation. - Yu, Sheng; Ma, Yumeng; Gronsbell, Jessica L.; Liao, Katherine P.; Cai, Tianrun A.; Ananthakrishnan, Ashwin N.; Gainer, Vivian S.; Churchill, Susanne E.; Szolovits, Peter; Murphy, Shawn N.; Kohane, Isaac S.; Cai, Tianxi (2017)

On the Characterization of a Class of Fisher-Consistent Loss Functions and its Application to Boosting. - Neykov, Matey; Liu, Jun S.; Cai, Tianxi (J. Mach. Learn. Res., 2016)

L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs. - Neykov, Matey; Liu, Jun S.; Cai, Tianxi (J. Mach. Learn. Res., 2016)

Defining a Statistically Valid Type 2 Diabetes Cohort in the Partners HealthCare EMR. - Goodson, Alyssa P.; Cagan, Andrew; Gainer, Vivian S.; Herrick, Christopher D.; Bell, Kelly; Cai, Tianxi; Murphy, Shawn N. (2016)

Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources. - Yu, Sheng; Liao, Katherine P.; Shaw, Stanley Y.; Gainer, Vivian S.; Churchill, Susanne E.; Szolovits, Peter; Murphy, Shawn N.; Kohane, Isaac S.; Cai, Tianxi (J. Am. Medical Informatics Assoc., 2015)

Demonstrating the Advantages of Applying Data Mining Techniques on Time-Dependent Electronic Medical Records. - Kartoun, Uri; Kumar, Vishesh; Cheng, Su-Chun; Yu, Sheng; Liao, Katherine P.; Karlson, Elizabeth W.; Ananthakrishnan, Ashwin N.; Xia, Zongqi; Gainer, Vivian S.; Cagan, Andrew; Savova, Guergana; Chen, Pei J.; et al. (2015)

Computable Phenotypes enabled by the i2b2 Validation Platform. - Murphy, Shawn N.; Gainer, Vivian S.; Castro, Victor M.; Goodson, Alyssa P.; Phillips, Lori C.; Yu, Sheng; Cai, Tianxi (2015)

Classification of CT pulmonary angiography reports by presence, chronicity, and location of pulmonary embolism with natural language processing. - Yu, Sheng; Kumamaru, Kanako K.; George, Elizabeth; Dunne, Ruth M.; Bedayat, Arash; Neykov, Matey; Hunsaker, Andetta R.; Dill, Karin E.; Cai, Tianxi; Rybicki, Frank J. (J. Biomed. Informatics, 2014)

A Short Introduction to MiniNLP. - Yu, Sheng; Cai, Tianxi (CoRR, 2013)

Portability of an algorithm to identify rheumatoid arthritis in electronic health records. - Carroll, Robert J.; Thompson, William K.; Eyler, Anne E.; Mandelin, Arthur M.; Cai, Tianxi; Zink, Raquel M.; Pacheco, Jennifer A.; Boomershine, Chad S.; Lasko, Thomas A.; Xu, Hua; Karlson, Elizabeth W.; Pérez, Raúl G.; et al. (J. Am. Medical Informatics Assoc., 2012)

Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers. - Jiang, Bo; Zhang, Xuegong; Cai, Tianxi (J. Mach. Learn. Res., 2008)