Yiqing Zhao

发表

Big Data Application in Biomedical Research and Health Care: A Literature Review

Jake Luo, Min Wu, Deepika Gopukumar, 2016, Biomedical informatics insights.

Clinical concept extraction: A methodology review

Sunghwan Sohn, Liwei Wang, Feichen Shen, 2020, J. Biomed. Informatics.

Computational drug repurposing based on electronic health records: a scoping review

J. Cerhan, Yiqing Zhao, Liwei Wang, 2022, npj Digital Medicine.

Leveraging a Data-Driven Strategy to Enrich Rare Disease Knowledge

Hongfang Liu, Feichen Shen, Yiqing Zhao, 2019, AMIA.

Summarization of Patient Education Material for New Media Platform

Hongfang Liu, Yiqing Zhao, Yanshan Wang, 2019, AMIA.

Machine Learning in Causal Inference: Application in Pharmacovigilance

Yiqing Zhao, Yue Yu, G. Jiang, 2022, Drug Safety.

Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAness

E. Goode, Hongfang Liu, Yiqing Zhao, 2020, BMC Medical Informatics and Decision Making.

Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records

Yuan Luo, Yiqing Zhao, Yiqing Zhao, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records

Hongfang Liu, Nan Zhang, Yiqing Zhao, 2019, J. Biomed. Informatics.

Assessment of RAS Dependency for BRAF Alterations Using Cancer Genomic Databases

Ming-Tseh Lin, Yiqing Zhao, C. Ida, 2021, JAMA network open.

Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study

Daniel J. Stone, Yiqing Zhao, Chen Wang, 2021, JMIR medical informatics.

Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study

Daniel J. Stone, Yiqing Zhao, Chen Wang, 2020, JMIR medical informatics.

Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study (Preprint)

Daniel J. Stone, Yiqing Zhao, Chen Wang, 2020 .

Quantitative phenotype analysis to identify, validate and compare rat disease models

Yiqing Zhao, Melinda R. Dwinell, Jennifer R. Smith, 2019, Database J. Biol. Databases Curation.

Natural Language Processing and Machine Learning for Identifying Incident Stroke From Electronic Health Records: Algorithm Development and Validation

Hongfang Liu, V. Roger, Yiqing Zhao, 2021, Journal of medical Internet research.

Natural Language Processing and Machine Learning for Identifying Incident Stroke From Electronic Health Records: Algorithm Development and Validation (Preprint)

Hongfang Liu, V. Roger, Yiqing Zhao, 2020 .

Longitudinal cohorts for harnessing the electronic health record for disease prediction in a US population

T. Therneau, J. Olson, Hongfang Liu, 2021, BMJ Open.

Rare disease knowledge enrichment through a data-driven approach

Feichen Shen, Yiqing Zhao, Liwei Wang, 2019, BMC Medical Informatics and Decision Making.

Clinical concept extraction: A methodology review

Kevin J. Peterson, Hongfang Liu, Yiqing Zhao, 2020, J. Biomed. Informatics.

Annotating Cohort Data Elements with OHDSI Common Data Model to Promote Research Reproducibility

Jennifer St Sauver, Hongfang Liu, Henry Wang, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Data-driven Sublanguage Analysis for Cancer Genomics Knowledge Modeling: Applications in Mining Oncological Genetics Information from Patients' Genetic Reports.

Feichen Shen, Yiqing Zhao, Hongfang Liu, 2020, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

PO2RDF: representation of real-world data for precision oncology using resource description framework

Nansu Zong, Feichen Shen, Hongfang Liu, 2021, BMC Medical Genomics.

Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation

Hongfang Liu, Yiqing Zhao, Jake Luo, 2018, BMC Medical Informatics and Decision Making.

A Review of the End-to-End Methodologies for Clinical Concept Extraction

Hongfang Liu, Feichen Shen, Yiqing Zhao, 2019 .

Development of Clinical Concept Extraction Applications: A Methodology Review pdf

Hongfang Liu, Feichen Shen, Yiqing Zhao, 2019, ArXiv.

Leveraging a Joint of Phenotypic and Genetic Features on Cancer Patient Subgrouping pdf

Feichen Shen, Hongfang Liu, Chen Wang, 2021, ArXiv.

Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features pdf

Feichen Shen, Hongfang Liu, Andrew Wen, 2021, ArXiv.

Natural Language Processing and Machine Learning for Identifying Incident Stroke From Electronic Health Records: Algorithm Development and Validation (Preprint)

V. Roger, Yiqing Zhao, S. Bielinski, 2020 .

Abstract MP15: Validation of Phenotyping Algorithms for Stroke From Electronic Health Records Using Natural Language Processing

Hongfang Liu, V. Roger, Yiqing Zhao, 2019, Circulation.