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Author Details
Full Name
Nansu Zong
Affiliation
Mayo Clinic
ORCID
Career Start Year
2016
Papers
32
H Index
9
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
36747733
Using Artificial Intelligence to Learn Optimal Regimen Plan for Alzheimer's Disease.
medRxiv
2023
37463858
Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease.
J Am Med Inform Assoc
2023
37398384
Artificial Intelligence-based Efficacy Prediction of Phase 3 Clinical Trial for Repurposing Heart Failure Therapies.
medRxiv
2023
37333219
Leveraging multi-source to resolve inconsistency across pharmacogenomic datasets in drug sensitivity prediction.
medRxiv
2023
36478394
Recommended practices and ethical considerations for natural language processing-assisted observational research: A scoping review.
Clin Transl Sci
2023
36747787
Predicting Physiological Response in Heart Failure Management: A Graph Representation Learning Approach using Electronic Health Records.
medRxiv
2023
36747733
Using Artificial Intelligence to Learn Optimal Regimen Plan for Alzheimer's Disease.
medRxiv
2023
37463858
Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease.
J Am Med Inform Assoc
2023
37333219
Leveraging multi-source to resolve inconsistency across pharmacogenomic datasets in drug sensitivity prediction.
medRxiv
2023
37398384
Artificial Intelligence-based Efficacy Prediction of Phase 3 Clinical Trial for Repurposing Heart Failure Therapies.
medRxiv
2023
36478394
Recommended practices and ethical considerations for natural language processing-assisted observational research: A scoping review.
Clin Transl Sci
2023
36747787
Predicting Physiological Response in Heart Failure Management: A Graph Representation Learning Approach using Electronic Health Records.
medRxiv
2023
35077901
Developing an ETL tool for converting the PCORnet CDM into the OMOP CDM to facilitate the COVID-19 data integration.
J Biomed Inform
2022
35658098
Deep Denoising of Raw Biomedical Knowledge Graph From COVID-19 Literature, LitCovid, and Pubtator: Framework Development and Validation.
J Med Internet Res
2022
35907849
PO2RDF: representation of real-world data for precision oncology using resource description framework.
BMC Med Genomics
2022
35701544
Computational drug repurposing based on electronic health records: a scoping review.
NPJ Digit Med
2022
35649342
BETA: a comprehensive benchmark for computational drug-target prediction.
Brief Bioinform
2022
36089199
FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model.
J Biomed Inform
2022
35672994
The Implication of Latent Information Quality to the Reproducibility of Secondary Use of Electronic Health Records.
Stud Health Technol Inform
2022
35311903
Correction to: Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench.
J Am Med Inform Assoc
2022
35261092
Midwest rural-urban disparities in use of patient online services for COVID-19.
J Rural Health
2022
35171108
Patient Portal Messaging for Asynchronous Virtual Care During the COVID-19 Pandemic: Retrospective Analysis.
JMIR Hum Factors
2022
35077901
Developing an ETL tool for converting the PCORnet CDM into the OMOP CDM to facilitate the COVID-19 data integration.
J Biomed Inform
2022
35649342
BETA: a comprehensive benchmark for computational drug-target prediction.
Brief Bioinform
2022
35672994
The Implication of Latent Information Quality to the Reproducibility of Secondary Use of Electronic Health Records.
Stud Health Technol Inform
2022
35701544
Computational drug repurposing based on electronic health records: a scoping review.
NPJ Digit Med
2022
35658098
Deep Denoising of Raw Biomedical Knowledge Graph From COVID-19 Literature, LitCovid, and Pubtator: Framework Development and Validation.
J Med Internet Res
2022
35907849
PO2RDF: representation of real-world data for precision oncology using resource description framework.
BMC Med Genomics
2022
36089199
FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model.
J Biomed Inform
2022
35311903
Correction to: Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench.
J Am Med Inform Assoc
2022
35171108
Patient Portal Messaging for Asynchronous Virtual Care During the COVID-19 Pandemic: Retrospective Analysis.
JMIR Hum Factors
2022
35261092
Midwest rural-urban disparities in use of patient online services for COVID-19.
J Rural Health
2022
33160272
Modeling cancer clinical trials using HL7 FHIR to support downstream applications: A case study with colorectal cancer data.
Int J Med Inform
2021
31885036
Drug-target prediction utilizing heterogeneous bio-linked network embeddings.
Brief Bioinform
2021
34032581
Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study.
JMIR Med Inform
2021
33160272
Modeling cancer clinical trials using HL7 FHIR to support downstream applications: A case study with colorectal cancer data.
Int J Med Inform
2021
34505903
Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench.
J Am Med Inform Assoc
2021
34505903
Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench.
J Am Med Inform Assoc
2021
34032581
Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study.
JMIR Med Inform
2021
31885036
Drug-target prediction utilizing heterogeneous bio-linked network embeddings.
Brief Bioinform
2021
32134686
Developing an FHIR-Based Computational Pipeline for Automatic Population of Case Report Forms for Colorectal Cancer Clinical Trials Using Electronic Health Records.
JCO Clin Cancer Inform
2020
32134686
Developing an FHIR-Based Computational Pipeline for Automatic Population of Case Report Forms for Colorectal Cancer Clinical Trials Using Electronic Health Records.
JCO Clin Cancer Inform
2020
32477698
Developing a FHIR-based Framework for Phenome Wide Association Studies: A Case Study with A Pan-Cancer Cohort.
AMIA Jt Summits Transl Sci Proc
2020
32477694
Integrating Electronic Health Record Data into the ADEpedia-on-OHDSI Platform for Improved Signal Detection: A Case Study of Immune-related Adverse Events.
AMIA Jt Summits Transl Sci Proc
2020
32530430
Detecting and Filtering Immune-Related Adverse Events Signal Based on Text Mining and Observational Health Data Sciences and Informatics Common Data Model: Framework Development Study.
JMIR Med Inform
2020
32530430
Detecting and Filtering Immune-Related Adverse Events Signal Based on Text Mining and Observational Health Data Sciences and Informatics Common Data Model: Framework Development Study.
JMIR Med Inform
2020
32477698
Developing a FHIR-based Framework for Phenome Wide Association Studies: A Case Study with A Pan-Cancer Cohort.
AMIA Jt Summits Transl Sci Proc
2020
32477694
Integrating Electronic Health Record Data into the ADEpedia-on-OHDSI Platform for Improved Signal Detection: A Case Study of Immune-related Adverse Events.
AMIA Jt Summits Transl Sci Proc
2020
30547451
Tripartite Network-Based Repurposing Method Using Deep Learning to Compute Similarities for Drug-Target Prediction.
Methods Mol Biol
2019
30547451
Tripartite Network-Based Repurposing Method Using Deep Learning to Compute Similarities for Drug-Target Prediction.
Methods Mol Biol
2019
1 - 50 of 64
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Chen Wang
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Victoria Ngo
RAND Corporation
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Co-authored papers
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Hongfang Liu
Mayo Clinic
Co-authored papers
5
Sijia Liu
Mayo Clinic, University at Buffalo - North Campus
Co-authored papers
5
Liwei Wang
University of Texas Health Science Center at Houston, Mayo Clinic
Co-authored papers
4
Hyeoneui Kim
The College of Nursing, Seoul National University
Co-authored papers
4
Kathryn J Ruddy
Mayo Clinic
Co-authored papers
3
Nilay D Shah
Mayo Clinic
Co-authored papers
3
Lucila Ohno-Machado
Escola de Administracao de Empresas - FGV, Stanford University, University of California San Diego, University of Sao Paulo, Yale School of Medicine
Co-authored papers
3
Ian M Fore
National Cancer Institute, National Institutes of Health
Co-authored papers
3
Lucila Ohno-Machado
Co-authored papers
3
Yanshan Wang
Mayo Clinic
Co-authored papers
3
Christopher G Chute
Brown University, Brown University Warren Alpert Medical School, Dartmouth-Hitchcock Medical Center, Harvard School of Public Health, Johns Hopkins Medicine, Mayo Clinic Minnesota
Co-authored papers
3
Deepak K Sharma
Mayo Clinic
Co-authored papers
3
Alejandra Gonzalez-Beltran
Oxford e-Research Centre, University of Oxford
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Philippe Rocca-Serra
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Anupama E Gururaj
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