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

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

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

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

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

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

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

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

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

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

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

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; et al. (J. Am. Medical Informatics Assoc., 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)

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)

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)

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; et al. (Patterns, 2024)

A teacher-teacher framework for clinical language representation learning - Feiqing Huang; Shenghan Zhang; Sara Morini Sweet; Tianxi Cai (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

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

Federated One-Shot Ensemble Clustering - Rui Duan; Xin Xiong; Jueyi Liu; Katherine P. Liao; 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)

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)

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; et al. (Bioinform., 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; 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? - 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; et al. (J. Biomed. Informatics, 2023)

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

Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices - Doudou Zhou; Tianxi Cai; Junwei Lu (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)

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

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, ClinicalNLP@ACL 2023, Toronto, Canada, July 14, 2023, 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 (MEDINFO 2023 - The Future Is Accessible - Proceedings of the 19th World Congress on Medical and Health Informatics, Sydney, NSW, Australia, 8-12 July 2023, 2023)

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; et al. (CoRR, 2023)

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

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)

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; et al. (J. Biomed. Informatics, 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; et al. (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)

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; et al. (J. Biomed. Informatics, 2022)

Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping - Yichi Zhang; Molei Liu; Matey Neykov; Tianxi Cai (J. Mach. Learn. Res., 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; et al. (npj Digit. Medicine, 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; et al. (AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022, 2022)

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

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

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

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)

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)

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; et al. (J. Digit. Imaging, 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)

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; et al. (npj Digit. Medicine, 2021)

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

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

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)

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; et al. (npj Digit. Medicine, 2020)

SAMGEP: A Novel Method for Prediction of Phenotype Event Times Using the Electronic Health Record - Yuri Ahuja; Chuan Hong; Zongqi Xia; Tianxi Cai (AMIA 2020, American Medical Informatics Association Annual Symposium, Virtual Event, USA, November 14-18, 2020, 2020)

Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation - Aaron Sonabend W.; Junwei Lu; Leo Anthony Celi; Tianxi Cai; Peter Szolovits (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 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 (Pacific Symposium on Biocomputing 2020, Fairmont Orchid, Hawaii, USA, January 3-7, 2020, 2020)

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

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

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)

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; et al. (J. Biomed. Informatics, 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)

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 (AMIA 2019, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 16-20, 2019, 2019)

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)

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)

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; et al. (AMIA 2018, American Medical Informatics Association Annual Symposium, San Francisco, CA, November 3-7, 2018, 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)

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)

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)

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 (AMIA 2017, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 4-8, 2017, 2017)

Using Electronic Health Records Data for Comparative Effectiveness Research - David Cheng; Ashwin N. Ananthakrishnan; Tianxi Cai (AMIA 2017, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 4-8, 2017, 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 (AMIA 2017, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 4-8, 2017, 2017)

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)

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)

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 (Summit on Clinical Research Informatics, CRI 2016, San Francisco, CA, USA, March 21-24, 2016, 2016)

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)

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; et al. (AMIA 2015, American Medical Informatics Association Annual Symposium, San Francisco, CA, USA, November 14-18, 2015, 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 (AMIA 2015, American Medical Informatics Association Annual Symposium, San Francisco, CA, USA, November 14-18, 2015, 2015)

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)

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

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; et al. (J. Am. Medical Informatics Assoc., 2012)

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