Tianxi Cai

发表

Year Paper Landmark Prediction of Survival

Tianxi Cai, 2016 .

International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality

Jason W. Moore, Brett K. Beaulieu-Jones, Florence T. Bourgeois, 2022, npj Digital Medicine.

Federated Offline Reinforcement Learning

Junwei Lu, Zhaoran Wang, Tianxi Cai, 2022, ArXiv.

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

Florence T. Bourgeois, Jeffrey G. Klann, Harrison G. Zhang, 2022, npj Digital Medicine.

Patterns of Utilization and Expenditure Across Multiple Sclerosis Disease-Modifying Therapies: A Retrospective Cohort Study Using Claims Data from a Commercially Insured Population in the United States, 2010–2019

Xiaoyu Tang, K. Suh, J. Seeger, 2022, Neurology and Therapy.

Scalable Relevance Ranking Algorithm via Semantic Similarity Assessment ImprovesEfficiency of Medical Chart Review.

K. Liao, T. Cai, D. Gagnon, 2022, Journal of biomedical informatics.

Semi-supervised Transfer Learning for Evaluation of Model Classification Performance

K. Liao, Xuan Wang, Tianxi Cai, 2022, 2208.07927.

Semi-supervised Triply Robust Inductive Transfer Learning

Tianxi Cai, Molei Liu, Mengyan Li, 2022, 2209.04977.

Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features

Tianxi Cai, Molei Liu, Doudou Zhou, 2022, 2208.05134.

Efficient evaluation of prediction rules in semi‐supervised settings under stratified sampling

L. Tian, J. Gronsbell, Tianxi Cai, 2022, Journal of the Royal Statistical Society. Series B, Statistical methodology.

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

S. Murphy, G. Weber, K. Liao, 2022, J. Biomed. Informatics.

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

Dong Xia, Luwan Zhang, Tianxi Cai, 2022, ArXiv.

A semi-supervised adaptive Markov Gaussian embedding process (SAMGEP) for prediction of phenotype event times using the electronic health record

Y. Ahuja, C. Hong, Sicong Huang, 2022, Scientific Reports.

Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features

Tianxi Cai, Molei Liu, Doudou Zhou, 2022, Journal of the American Statistical Association.

Harnessing electronic health records for real-world evidence

Brett K. Beaulieu-Jones, Thomas O Jemielita, Jessica L. Gronsbell, 2022, 2211.16609.

Robust Inference for Federated Meta-Learning

Zijian Guo, Xiudi Li, Tianxi Cai, 2023, 2301.00718.

Multimodal Learning on Graphs for Disease Relation Extraction

M. Zitnik, Sheng Yu, Yucong Lin, 2022, J. Biomed. Informatics.

Xiaoyu Tang, K. Suh, J. Seeger, 2022, Neurology and Therapy.

Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19

Jason W. Moore, Brett K. Beaulieu-Jones, Florence T. Bourgeois, 2021, Scientific Reports.

Longitudinal imaging history in early identification of intimate partner violence

S. Seltzer, I. Kohane, C. Bay, 2021, European Radiology.

Semi-supervised Transfer Learning for Evaluation of Model Classification Performance

K. Liao, Xuan Wang, Tianxi Cai, 2022, 2208.07927.

Evolving phenotypes of non-hospitalized patients that indicate long COVID

Jason W. Moore, Brett K. Beaulieu-Jones, Tiago K. Colicchio, 2021, BMC Medicine.

Use of natural language processing in electronic medical records to identify pregnant women with suicidal behavior: towards a solution to the complex classification problem

Tianxi Cai, Sean Finan, Paul Avillach, 2018, European Journal of Epidemiology.

Hospitalizations Associated With Mental Health Conditions Among Adolescents in the US and France During the COVID-19 Pandemic

Jason W. Moore, Brett K. Beaulieu-Jones, Florence T. Bourgeois, 2022, JAMA network open.

Identifying lupus patients in electronic health records: Development and validation of machine learning algorithms and application of rule-based algorithms.

Joshua C. Denny, Tianxi Cai, Katherine P. Liao, 2019, Seminars in arthritis and rheumatism.

Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer

D. Christiani, T. Cai, C. Hong, 2021, JAMA network open.

Surrogate-Assisted Federated Learning of high dimensional Electronic Health Record Data

Zijian Guo, Tianxi Cai, Molei Liu, 2023, 2302.04970.

Multimodal representation learning for predicting molecule–disease relations

M. Zitnik, K. Liao, T. Cai, 2023, Bioinformatics.

Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: An international multi-centre observational cohort study

Jason W. Moore, Brett K. Beaulieu-Jones, Florence T. Bourgeois, 2022, eClinicalMedicine.

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

Harrison G. Zhang, G. Omenn, K. Ngiam, 2022, medRxiv.

Towards Optimal Use of Surrogate Markers to Improve Power

L. Tian, Layla Parast, Xuan Wang, 2022, 2209.08414.

Classical Model Selection

Lu Tian, Tianxi Cai, Lee-Jen Wei, 2013 .

Identifying shared genetic architecture between rheumatoid arthritis and other conditions: a phenome-wide association study with genetic risk scores

Harrison G. Zhang, Kun‐Hsing Yu, S. Raychaudhuri, 2023, EBioMedicine.

Acute respiratory distress syndrome after SARS-CoV-2 infection on young adult population: International observational federated study based on electronic health records through the 4CE consortium

Jeffrey G. Klann, Harrison G. Zhang, I. Kohane, 2023, PloS one.

Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies

Brett K. Beaulieu-Jones, Thomas O Jemielita, Jessica L. Gronsbell, 2023, Journal of medical Internet research.

Diversity and Scale: Genetic Architecture of 2,068 Traits in the VA Million Veteran Program

T. Assimes, S. Grant, S. Luoh, 2023, medRxiv.

An efficient landmark model for prediction of suicide attempts in multiple clinical settings

Ben Y. Reis, I. Kohane, J. Smoller, 2023, Psychiatry Research.

Federated Offline Reinforcement Learning

Junwei Lu, Zhaoran Wang, Tianxi Cai, 2022, Journal of the American Statistical Association.

Improving the Efficiency of Clinical Trial Recruitment Using an Ensemble Machine Learning to Assist With Eligibility Screening

K. Liao, T. Cai, C. Hong, 2021, ACR open rheumatology.

Acute respiratory distress syndrome after SARS-CoV-2 infection on young adult population: International observational federated study based on electronic health records through the 4CE consortium

Jeffrey G. Klann, Harrison G. Zhang, I. Kohane, 2022, medRxiv.

NILE: Fast Natural Language Processing for Electronic Health Records

Sheng Yu, Tianxi Cai, Tianrun Cai, 2013 .

Semi-Supervised Calibration of Noisy Event Risk (SCANER) with Electronic Health Records.

M. Pencina, K. Liao, Kelly Cho, 2023, Journal of biomedical informatics.

Potential pitfalls in the use of real-world data for studying long COVID

Harrison G. Zhang, I. Kohane, N. Gehlenborg, 2023, Nature Network Boston.

Prompt Discriminative Language Models for Domain Adaptation

Tristan Naumann, P. Potash, Xihui Lin, 2023, CLINICALNLP.

Acronym Disambiguation in Clinical Notes from Electronic Health Records

N. B. Link, S. Huang, T. Cai, 2020, medRxiv.

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

Frank J. Rybicki, Katherine P. Liao, Tianxi Cai, 2019, BMC Medical Informatics and Decision Making.

TAXN: Translate Align Extract Normalize, a multilingual extraction tool for clinical texts

A. Neuraz, Adrien Coulet, K. T. Huynh, 2023 .

Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects

Jue Hou, R. Duan, Kelly Cho, 2021, 2112.09313.

Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program

S. Luoh, B. Voight, S. Damrauer, 2024, Science.