Juan Zhao
Orcid: 0000-0003-1429-0662Affiliations:
- Vanderbilt University Medical Center, Nashville, TN, USA
- Tennessee State University, College of Engineering, TN, USA
- Chinese Academy of Sciences, Computer Network Information Center, Beijing, China (PhD)
According to our database1,
Juan Zhao
authored at least 24 papers
between 2010 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
2010
2012
2014
2016
2018
2020
2022
0
1
2
3
4
5
2
1
3
1
2
1
2
1
1
1
1
4
1
1
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Evaluating and mitigating bias in machine learning models for cardiovascular disease prediction.
J. Biomed. Informatics, February, 2023
Evaluating resources composing the PheMAP knowledge base to enhance high-throughput phenotyping.
J. Am. Medical Informatics Assoc., February, 2023
2022
Natural language processing to identify lupus nephritis phenotype in electronic health records.
BMC Medical Informatics Decis. Mak., December, 2022
Bassa-ML - A Blockchain and Model Card Integrated Federated Learning Provenance Platform.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022
Proceedings of the AMIA 2022, 2022
2021
ConceptWAS: A high-throughput method for early identification of COVID-19 presenting symptoms and characteristics from clinical notes.
J. Biomed. Informatics, 2021
DDIWAS: High-throughput electronic health record-based screening of drug-drug interactions.
J. Am. Medical Informatics Assoc., 2021
Natural language processing to identify lupus nephritis phenotype in electronic health records.
CoRR, 2021
Early Detect COVID-19 Presenting Symptoms and Characteristics Using Natural Language Processing on Electronic Health Records.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records.
J. Am. Medical Informatics Assoc., 2020
Detecting National Institutes of Health's funding interests and trends using Machine Learning.
Proceedings of the AMIA 2020, 2020
2019
Detecting time-evolving phenotypic topics via tensor factorization on electronic health records: Cardiovascular disease case study.
J. Biomed. Informatics, 2019
EURASIP J. Inf. Secur., 2019
Deep Learning Using Electronic Health Records and Genetic Data to Predict Cardiovascular Diseases.
Proceedings of the AMIA 2019, 2019
2018
A Reliable Data Provenance and Privacy Preservation Architecture for Business-Driven Cyber-Physical Systems Using Blockchain.
Int. J. Inf. Secur. Priv., 2018
Using Topic Modeling to Identify Relationship between LPA Variant and Disease Phenotypes.
Proceedings of the AMIA 2018, 2018
2017
Integrating blockchain for data sharing and collaboration in mobile healthcare applications.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017
Proceedings of the 2017 IEEE Military Communications Conference, 2017
Proceedings of the 2017 IEEE Military Communications Conference, 2017
Proceedings of the Information and Communications Security - 19th International Conference, 2017
2015
Proceedings of the Web-Age Information Management - 16th International Conference, 2015
2014
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014
2013
Proceedings of the 9th IEEE International Conference on eScience, 2013
2010
A Cross-disciplinary Collaborative Research Platform - Study on Qinghai Lake Joint Research Environment.
Proceedings of the Sixth International Conference on Signal-Image Technology and Internet-Based Systems, 2010