Ming Huang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Sequence Alignment

Top Venues

J. Am. Medical Informatics Assoc.

Publications

Sai Krishna Revanth Vuruma, Dezhi Wu, Saborny Sen Gupta, Lucas Aust, Valerie Lookingbill, Wyatt Bellamy, Yang Ren, Erin Kasson, Li-Shiun Chen, Patricia A. Cavazos-Rehg, Dian Hu, Ming Huang
Can GPT-4 Help Detect Quit Vaping Intentions? An Exploration of Automatic Data Annotation Approach. CoRR (2024)
Yang Ren, Yuqi Wu, Jungwei W. Fan, Aditya Khurana, Sunyang Fu, Dezhi Wu, Hongfang Liu, Ming Huang
Automatic uncovering of patient primary concerns in portal messages using a fusion framework of pretrained language models. J. Am. Medical Informatics Assoc. 31 (8) (2024)
Sai Krishna Revanth Vuruma, Dezhi Wu, Saborny Sen Gupta, Lucas Aust, Valerie Lookingbill, Caleb Henry, Yang Ren, Erin Kasson, Li-Shiun Chen, Patricia A. Cavazos-Rehg, Dian Hu, Ming Huang
Utilizing Large Language Models to Identify Reddit Users Considering Vaping Cessation for Digital Interventions. CoRR (2024)
Jungwei Fan, Wanjing Wang, Ming Huang, Hongfang Liu, W. M. Hooten
Retrospective content analysis of consumer product reviews related to chronic pain. Frontiers Digit. Health 5 (2023)
Ming Huang, Aditya Khurana, George M. Mastorakos, Jiawei Zhou, Nansu Zong, Yue Yu, Julie E. Prigge, Christi A. Patten, Hongfang Liu, Brian Costello
Characterizing the Users of Patient Portal Messaging: A Single Institutional Cohort Study. ICHI (2023)
Kurt Miller, Bhavani Singh Agnikula Kshatriya, Nicolas A. Nunez, Manuel Gardea-Resendez, Euijung Ryu, Brandon J. Coombes, Sunyang Fu, Mark A. Frye, Joanna M. Biernacka, Ming Huang, Yanshan Wang
Identifying Major Depressive Disorder From Clinical Notes Using Neural Language Models with Distant Supervision. ICHI (2023)
Ziyi Chen, Ren Yang, Sunyang Fu, Nansu Zong, Hongfang Liu, Ming Huang
Detecting Reddit Users with Depression Using a Hybrid Neural Network SBERT-CNN. ICHI (2023)
Yang Ren, Dezhi Wu, Aditya Khurana, George M. Mastorakos, Sunyang Fu, Nansu Zong, Jungwei Fan, Hongfang Liu, Ming Huang
Classification of Patient Portal Messages with BERT-based Language Models. ICHI (2023)
Nansu Zong, Andrew Wen, Sungrim Moon, Sunyang Fu, Liwei Wang, Yiqing Zhao, Yue Yu, Ming Huang, Yanshan Wang, Gang Zheng, Michelle M. Mielke, James R. Cerhan, Hongfang Liu
Computational drug repurposing based on electronic health records: a scoping review. npj Digit. Medicine 5 (2022)
Yang Ren, Dezhi Wu, Avineet Kumar Singh, Erin Kasson, Ming Huang, Patricia A. Cavazos-Rehg
Automated Detection of Vaping-Related Tweets on Twitter During the 2019 EVALI Outbreak Using Machine Learning Classification. Frontiers Big Data 5 (2022)
Kurt Miller, Sunyang Fu, Kris Abah, Andrea Maraboto Escarria, Kevin J. Peterson, Hongfang Liu, Lacey Hart, Nelly Tan, Ming Huang
Aspect-based Sentiment Analysis of Radiology Patient Experience Surveys: A Cohort Study. ICHI (2022)
Jiawei Zhou, Rosa I. Arriaga, Hongfang Liu, Ming Huang
A Tale of Two Perspectives: Harvesting System Views and User Views to Understand Patient Portal Engagement. ICHI (2022)
Nansu Zong, Ning Li, Andrew Wen, Victoria Ngo, Yue Yu, Ming Huang, Shaika Chowdhury, Chao Jiang, Sunyang Fu, Richard Weinshilboum, Guoqian Jiang, Lawrence Hunter, Hongfang Liu
BETA: a comprehensive benchmark for computational drug-target prediction. Briefings Bioinform. 23 (4) (2022)
Andrew Wen, Liwei Wang, Huan He, Sijia Liu, Sunyang Fu, Sunghwan Sohn, Jacob A. Kugel, Vinod C. Kaggal, Ming Huang, Yanshan Wang, Feichen Shen, Jungwei Fan, Hongfang Liu
An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses. J. Biomed. Informatics 113 (2021)
Erin Kasson, Avineet Kumar Singh, Ming Huang, Dezhi Wu, Patricia A. Cavazos-Rehg
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 155 (2021)
Ming Huang, Aditya Khurana, George M. Mastorakos, Jungwei Fan
Identification of Transportation Barriers in Patient Portal Messages via Deep Semantic Embeddings and Clustering. MedInfo (2021)
Ming Huang, Aditya Khurana, George M. Mastorakos, Andrew Wen, Huan He, Liwei Wang, Sijia Liu, Yanshan Wang, Julie Prigge, Brian Costello, Nilay D. Shah, Henry Ting, Christi Patten, Jungwei Fan, Hongfang Liu
Patient Asynchronous Response to Coronavirus Disease 2019 (COVID-19): A Retrospective Analysis of Patient Portal Messages. AMIA (2021)
Nathan D. Seligson, Jeremy L. Warner, William S. Dalton, David Martin, Robert S. Miller, Debra Patt, Kenneth L. Kehl, Matvey B. Palchuk, Gil Alterovitz, Laura K. Wiley, Ming Huang, Feichen Shen, Yanshan Wang, Khoa A. Nguyen, Anthony F. Wong, Funda Meric-Bernstam, Elmer V. Bernstam, James L. Chen
Recommendations for patient similarity classes: results of the AMIA 2019 workshop on defining patient similarity. J. Am. Medical Informatics Assoc. 27 (11) (2020)
Ming Huang, Jungwei Fan
Deep Semantic Embeddings and Clustering to Facilitate Identification of Transportation Barriers in Patient Portal Messages. AMIA (2020)
Erin Kasson, Lijuan Cao, Ming Huang, Dezhi Wu, Patricia A. Cavazos-Rehg
Leveraging Twitter Data to Explore the Feasibility of Detecting Negative Health Outcomes Related to Vaping. HCI (49) (2020)
Ming Huang, Nilay D. Shah, Lixia Yao
Evaluating global and local sequence alignment methods for comparing patient medical records. BMC Medical Informatics Decis. Mak. (6) (2019)
Ming Huang, Maryam Zolnoori, Nilay D. Shah, Lixia Yao
Temporal sequence alignment in electronic health records for computable patient representation. BIBM (2018)
Ming Huang, Maryam Zolnoori, Lixia Yao
Probing Technology Innovation on Diseases via Patent Mining. AMIA (2018)
Dingcheng Li, Peini Liu, Ming Huang, Yu Gu, Yue Zhang, Xiaodi Li, Daniel Dean, Xiaoxi Liu, Jingmin Xu, Hui Lei, Yaoping Ruan
Mapping client messages to a unified data model with mixture feature embedding convolutional neural network. BIBM (2017)
Ming Huang, Timothy J. Giese, Darrin M. York
Nucleic acid reactivity: Challenges for next-generation semiempirical quantum models. J. Comput. Chem. 36 (18) (2015)