Ming Huang

Orcid: 0000-0001-7367-3626

Affiliations:
  • Mayo Clinic, Department of Health Sciences Research, Rochester, MN, USA
  • Rutgers University, BioMaPS Institute for Quantitative Biology, Piscataway, NJ, USA
  • University of Minnesota Twin Cities, Department of Chemistry, Minneapolis, MN, USA (PhD)


According to our database1, Ming Huang authored at least 29 papers between 2015 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Retrospective content analysis of consumer product reviews related to chronic pain.
Frontiers Digit. Health, March, 2023

Detecting Reddit Users with Depression Using a Hybrid Neural Network.
CoRR, 2023

Classification of Patient Portal Messages with BERT-based Language Models.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Identifying Major Depressive Disorder From Clinical Notes Using Neural Language Models with Distant Supervision.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Characterizing the Users of Patient Portal Messaging: A Single Institutional Cohort Study.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Detecting Reddit Users with Depression Using a Hybrid Neural Network SBERT-CNN.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022
Computational drug repurposing based on electronic health records: a scoping review.
npj Digit. Medicine, 2022

Automated Detection of Vaping-Related Tweets on Twitter During the 2019 EVALI Outbreak Using Machine Learning Classification.
Frontiers Big Data, 2022

BETA: a comprehensive benchmark for computational drug-target prediction.
Briefings Bioinform., 2022

A Tale of Two Perspectives: Harvesting System Views and User Views to Understand Patient Portal Engagement.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Mining Transportation Issues from Patient Portal Messages.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Aspect-based Sentiment Analysis of Radiology Patient Experience Surveys: A Cohort Study.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Probing Radiology Patient Experience Feedbacks with Aspect-based Sentiment Analysis.
Proceedings of the AMIA 2022, 2022

2021
An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses.
J. Biomed. Informatics, 2021

Modeling cancer clinical trials using HL7 FHIR to support downstream applications: A case study with colorectal cancer data.
Int. J. Medical Informatics, 2021

Using a mixed methods approach to identify public perception of vaping risks and overall health outcomes on Twitter during the 2019 EVALI outbreak.
Int. J. Medical Informatics, 2021

Drug-target prediction utilizing heterogeneous bio-linked network embeddings.
Briefings Bioinform., 2021

Identification of Transportation Barriers in Patient Portal Messages via Deep Semantic Embeddings and Clustering.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Disparity analysis of patient portal messaging use for COVID-19 in urban versus rural locality.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

COVID-19 Dashboard: Visual Exploration of the Regional Pandemic Trend.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Patient Asynchronous Response to Coronavirus Disease 2019 (COVID-19): A Retrospective Analysis of Patient Portal Messages.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Recommendations for patient similarity classes: results of the AMIA 2019 workshop on defining patient similarity.
J. Am. Medical Informatics Assoc., 2020

Leveraging Twitter Data to Explore the Feasibility of Detecting Negative Health Outcomes Related to Vaping.
Proceedings of the HCI International 2020 - Late Breaking Posters, 2020

Deep Semantic Embeddings and Clustering to Facilitate Identification of Transportation Barriers in Patient Portal Messages.
Proceedings of the AMIA 2020, 2020

2019
Evaluating global and local sequence alignment methods for comparing patient medical records.
BMC Medical Informatics Decis. Mak., 2019

2018
Temporal sequence alignment in electronic health records for computable patient representation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Probing Technology Innovation on Diseases via Patent Mining.
Proceedings of the AMIA 2018, 2018

2017
Mapping client messages to a unified data model with mixture feature embedding convolutional neural network.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2015
Nucleic acid reactivity: Challenges for next-generation semiempirical quantum models.
J. Comput. Chem., 2015


  Loading...