Tianxi Cai

Orcid: 0000-0002-5379-2502

According to our database1, Tianxi Cai authored at least 57 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
LATTE: Label-efficient incident phenotyping from longitudinal electronic health records.
Patterns, January, 2024

2023
Semi-supervised calibration of noisy event risk (SCANER) with electronic health records.
J. Biomed. Informatics, August, 2023

Framework of the Centralized Interactive Phenomics Resource (CIPHER) standard for electronic health data-based phenomics knowledgebase.
J. Am. Medical Informatics Assoc., April, 2023

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?
J. Biomed. Informatics, March, 2023

Multimodal representation learning for predicting molecule-disease relations.
Bioinform., February, 2023

Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices.
J. Mach. Learn. Res., 2023

Multimodal learning on graphs for disease relation extraction.
J. Biomed. Informatics, 2023

Distributionally Robust Transfer Learning.
CoRR, 2023

TAXN: Translate Align Extract Normalize, a Multilingual Extraction Tool for Clinical Texts.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Prompt Discriminative Language Models for Domain Adaptation.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.
npj Digit. Medicine, 2022

Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping.
J. Mach. Learn. Res., 2022

Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization.
J. Biomed. Informatics, 2022

SurvMaximin: Robust federated approach to transporting survival risk prediction models.
J. Biomed. Informatics, 2022

Weakly Semi-supervised phenotyping using Electronic Health records.
J. Biomed. Informatics, 2022

Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review.
J. Biomed. Informatics, 2022

Binary acronym disambiguation in clinical notes from electronic health records with an application in computational phenotyping.
Int. J. Medical Informatics, 2022

Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model.
CoRR, 2022

Federated Offline Reinforcement Learning.
CoRR, 2022

Knowledge-Driven Online Multimodal Automated Phenotyping System.
Proceedings of the AMIA 2022, 2022

2021
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data.
npj Digit. Medicine, 2021

Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints.
J. Mach. Learn. Res., 2021

Improved Appropriateness of Advanced Diagnostic Imaging After Implementation of Clinical Decision Support Mechanism.
J. Digit. Imaging, 2021

ATLAS: an automated association test using probabilistically linked health records with application to genetic studies.
J. Am. Medical Informatics Assoc., 2021

A high-throughput phenotyping algorithm is portable from adult to pediatric populations.
J. Am. Medical Informatics Assoc., 2021

Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach.
CoRR, 2021

BELT: Blockwise Missing Embedding Learning Transfomer.
CoRR, 2021

2020
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.
npj Digit. Medicine, 2020

sureLDA: A multidisease automated phenotyping method for the electronic health record.
J. Am. Medical Informatics Assoc., 2020

Semi-Supervised Off Policy Reinforcement Learning.
CoRR, 2020

Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling.
CoRR, 2020

Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation.
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.
Proceedings of the AMIA 2020, 2020

2019
EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research.
BMC Medical Informatics Decis. Mak., 2019

Automated grouping of medical codes via multiview banded spectral clustering.
J. Biomed. Informatics, 2019

Feature extraction for phenotyping from semantic and knowledge resources.
J. Biomed. Informatics, 2019

sureLDA: A Novel Multi-Disease Automated Phenotyping Method for the Electronic Health Record.
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.
BMC Medical Informatics Decis. Mak., 2018

Enabling phenotypic big data with PheNorm.
J. Am. Medical Informatics Assoc., 2018

Clinical Concept Embeddings Learned from Massive Sources of Medical Data.
CoRR, 2018

High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS.
Proceedings of the AMIA 2018, 2018

2017
Surrogate-assisted feature extraction for high-throughput phenotyping.
J. Am. Medical Informatics Assoc., 2017

Rare variant association test in family-based sequencing studies.
Briefings Bioinform., 2017

High-throughput Phenotyping via Denoised Normal Mixture Transformation.
Proceedings of the AMIA 2017, 2017

Using Electronic Health Records Data for Comparative Effectiveness Research.
Proceedings of the AMIA 2017, 2017

Improving EHR Chart Review Efficiency via Semantic Similarity Assessment.
Proceedings of the AMIA 2017, 2017

2016
L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs.
J. Mach. Learn. Res., 2016

On the Characterization of a Class of Fisher-Consistent Loss Functions and its Application to Boosting.
J. Mach. Learn. Res., 2016

Defining a Statistically Valid Type 2 Diabetes Cohort in the Partners HealthCare EMR.
Proceedings of the Summit on Clinical Research Informatics, 2016

2015
Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources.
J. Am. Medical Informatics Assoc., 2015

Computable Phenotypes enabled by the i2b2 Validation Platform.
Proceedings of the AMIA 2015, 2015

Demonstrating the Advantages of Applying Data Mining Techniques on Time-Dependent Electronic Medical Records.
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.
J. Biomed. Informatics, 2014

2013
A Short Introduction to MiniNLP.
CoRR, 2013

2012
Portability of an algorithm to identify rheumatoid arthritis in electronic health records.
J. Am. Medical Informatics Assoc., 2012

2008
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers.
J. Mach. Learn. Res., 2008


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