Juan Zhao

  • 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 23 papers between 2010 and 2023.

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



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


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

Bassa-ML - A Blockchain and Model Card Integrated Federated Learning Provenance Platform.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

Evaluating Phenotype Classification Using Synthesized Online Content.
Proceedings of the AMIA 2022, 2022

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

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

Detecting time-evolving phenotypic topics via tensor factorization on electronic health records: Cardiovascular disease case study.
J. Biomed. Informatics, 2019

Transfer learning for detecting unknown network attacks.
EURASIP J. Inf. Secur., 2019

Deep Learning Using Electronic Health Records and Genetic Data to Predict Cardiovascular Diseases.
Proceedings of the AMIA 2019, 2019

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

Integrating blockchain for data sharing and collaboration in mobile healthcare applications.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

Feature-based transfer learning for network security.
Proceedings of the 2017 IEEE Military Communications Conference, 2017

Towards data assurance and resilience in IoT using blockchain.
Proceedings of the 2017 IEEE Military Communications Conference, 2017

Towards Decentralized Accountability and Self-sovereignty in Healthcare Systems.
Proceedings of the Information and Communications Security - 19th International Conference, 2017

An Influence Field Perspective on Predicting User's Retweeting Behavior.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

Recommending funding collaborators with scholar social networks.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

DSN: A Knowledge-Based Scholar Networking Practice Towards Research Community.
Proceedings of the 9th IEEE International Conference on eScience, 2013

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