Katherine P. Liao

发表

Improving EHR Chart Review Efficiency via Semantic Similarity Assessment

Tianxi Cai, J. Michael Gaziano, Tianrun A. Cai, 2017, AMIA.

PheProb: probabilistic phenotyping using diagnosis codes to improve power for genetic association studies

Sheng Yu, Boris P. Hejblum, Isaac S. Kohane, 2018, J. Am. Medical Informatics Assoc..

Using PheWAS to Assess Pleiotropy of Genetic Risk Scores for Rheumatoid Arthritis and Coronary Artery Disease in the eMERGE Network

Christopher G. Chute, Lisa Bastarache, Dana C. Crawford, 2012, AMIA.

High-throughput Multimodal Automated Phenotyping (MAP) with Application to PheWAS

Peter Szolovits, Jiehuan Sun, Isaac S. Kohane, 2019, bioRxiv.

Surrogate-assisted feature extraction for high-throughput phenotyping

Peter Szolovits, Sheng Yu, Tianxi Cai, 2016, J. Am. Medical Informatics Assoc..

PheWAS and Genetics Define Subphenotypes in Drug Response

Charles Moore, Joshua C. Denny, Jeremy L. Warner, 2014, AMIA.

High-throughput Phenotyping via Denoised Normal Mixture Transformation

Peter Szolovits, Sheng Yu, Tianxi Cai, 2017, AMIA.

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

Peter Szolovits, Jiehuan Sun, Isaac S. Kohane, 2018, AMIA.

High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP)

Peter Szolovits, Sheng Yu, Jiehuan Sun, 2019, Nature Protocols.

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

Peter Szolovits, Sheng Yu, Tianxi Cai, 2015, J. Am. Medical Informatics Assoc..

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

Peter Szolovits, Sheng Yu, Tianxi Cai, 2015, AMIA.

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.

High-throughput Multimodal Automated Phenotyping (MAP) with Application to PheWAS

Peter Szolovits, Jie Huang, Jiehuan Sun, 2019 .

Feature extraction for phenotyping from semantic and knowledge resources

Sheng Yu, Tianxi Cai, Kenneth D. Mandl, 2019, J. Biomed. Informatics.

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

Hua Xu, Joshua C. Denny, Tianxi Cai, 2012, J. Am. Medical Informatics Assoc..

Enabling phenotypic big data with PheNorm

Peter Szolovits, Sheng Yu, Tianxi Cai, 2018, J. Am. Medical Informatics Assoc..

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

Tianxi Cai, Boris P. Hejblum, Griffin M. Weber, 2021, medRxiv.

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.

Identification of Nonresponse to Treatment Using Narrative Data in an Electronic Health Record Inflammatory Bowel Disease Cohort

Tianxi Cai, Vivian S. Gainer, Shawn N. Murphy, 2016, Inflammatory bowel diseases.

Association of Interleukin 6 Receptor Variant With Cardiovascular Disease Effects of Interleukin 6 Receptor Blocking Therapy: A Phenome-Wide Association Study

Tianxi Cai, Jiehuan Sun, J. Michael Gaziano, 2018, JAMA cardiology.

Autoantibodies, autoimmune risk alleles and clinical associations in rheumatoid arthritis cases and non-RA controls in the electronic medical records

Peter Szolovits, Joshua C. Denny, Tianxi Cai, 2013 .

TYK2 Protein-Coding Variants Protect against Rheumatoid Arthritis and Autoimmunity, with No Evidence of Major Pleiotropic Effects on Non-Autoimmune Complex Traits

Joshua C. Denny, Lisa Bastarache, Jing Cui, 2015, PloS one.

Improving the power of genetic association tests with imperfect phenotype derived from electronic medical records

Peter Szolovits, Tianxi Cai, Vivian S. Gainer, 2014, Human Genetics.

Modeling Disease Severity in Multiple Sclerosis Using Electronic Health Records

Peter Szolovits, Tianxi Cai, Guergana K. Savova, 2013, PloS one.

NATURAL LANGUAGE PROCESSING IMPROVES PHENOTYPIC ACCURACY IN AN ELECTRONIC MEDICAL RECORD COHORT OF TYPE 2 DIABETES AND CARDIOVASCULAR DISEASE

Peter Szolovits, Tianxi Cai, Isaac S. Kohane, 2014 .