Huan Mo

Orcid: 0000-0001-6029-458X

According to our database1, Huan Mo authored at least 19 papers between 2014 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Systematic replication of smoking disease associations using survey responses and EHR data in the <i>All of Us</i> Research Program.
J. Am. Medical Informatics Assoc., December, 2023

2022
The U.S. National Library of Medicine's impact on precision and genomic medicine.
Inf. Serv. Use, 2022

Comparing Effect Sizes in Covid Positive Phenomic Profiles.
Proceedings of the AMIA 2022, 2022

Impact of COVID-19 on mental health outcomes in the All of Us Research Program.
Proceedings of the AMIA 2022, 2022

2018
A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments.
J. Am. Medical Informatics Assoc., 2018

2017
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.
J. Am. Medical Informatics Assoc., 2017

2016
Developing a data element repository to support EHR-driven phenotype algorithm authoring and execution.
J. Biomed. Informatics, 2016

Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance.
J. Am. Medical Informatics Assoc., 2016

A Decompositional Approach to Executing Quality Data Model Algorithms on the i2b2 Platform.
Proceedings of the Summit on Clinical Research Informatics, 2016

An NLP Extension to the Quality Data Model for EHR-Driven Phenotype Algorithm Authoring and Execution.
Proceedings of the AMIA 2016, 2016

2015
Review and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational research.
J. Am. Medical Informatics Assoc., 2015

Desiderata for computable representations of electronic health records-driven phenotype algorithms.
J. Am. Medical Informatics Assoc., 2015

Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record.
J. Am. Medical Informatics Assoc., 2015

A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Translating Electronic Clinical Quality Measures to Executable, Portable, and Customizable Workflows in KNIME.
Proceedings of the AMIA 2015, 2015

Harmonization of Quality Data Model with HL7 FHIR to Support EHR-driven Phenotype Authoring and Execution: A Pilot Study.
Proceedings of the AMIA 2015, 2015

2014
Qualitative evaluation of three phenotype information models to find methotrexate liver injury.
Proceedings of the AMIA 2014, 2014

Evaluation of Diagnosis Codes, Clinical Notes, and Medications on Identifying Subjects with a Specific Disease Phenotype.
Proceedings of the AMIA 2014, 2014

Evaluation of Existing Phenotype Authoring Tools for Clinical Research.
Proceedings of the AMIA 2014, 2014


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