Ming Huang
Orcid: 0000-0001-7367-3626Affiliations:
- 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 32 papers
between 2015 and 2024.
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Bibliography
2024
Automatic uncovering of patient primary concerns in portal messages using a fusion framework of pretrained language models.
J. Am. Medical Informatics Assoc., 2024
Can GPT-4 Help Detect Quit Vaping Intentions? An Exploration of Automatic Data Annotation Approach.
CoRR, 2024
Utilizing Large Language Models to Identify Reddit Users Considering Vaping Cessation for Digital Interventions.
CoRR, 2024
2023
Frontiers Digit. Health, March, 2023
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
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
2022
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
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
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
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
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
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
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