Introduction
In the past few decades, growing adoption of electronic health records (EHRs) systems have made massive clinical narrative data available electronically. Natural language processing (NLP) technologies that can unlock information from narrative text have received great attention in the medical domain. Many clinical NLP methods and systems have been developed and showed promising results in various information extraction tasks. These methods and tools have also been successfully applied to facilitate clinical research, as well as to support healthcare applications. At the same time, the availability and use of health information online has exploded through use of social media, question-answering and community discussion forums, and health-related websites. These present additional challenges and opportunities for further development of new methodologies and healthcare applications.
The goal of this workshop is to provide a unique platform to bring together researchers and practitioners in healthcare informatics working with health-related free text, and facilitate close interaction among students, scholars, and industry professionals on health NLP challenges worldwide. This is a one-day workshop that consists of invited speakers, podium talks, and poster presentations. The workshop will be held on August 9th, 2021, virtually at Victoria, Canada, in conjunction with the IEEE International Conference on Healthcare Informatics (ICHI 2021). Due to the uncertainty of current pandemics, we are going virtual with the workshop.
We invite papers and short abstracts on novel approaches, works in progress, comparative analyses of tools, and original state-of-the-art work in health NLP methods, tools, and applications. Selected papers will be presented as podium talks, and other interesting submissions and abstracts will be showcased as poster presentations.
Audience
Target audience includes both health NLP researchers and consumers. Anyone interested in NLP-based approaches, solutions, and applications in clinical, biomedical, and consumer health informatics is welcome. Researchers and students working on health NLP projects and others interested in learning about and sharing NLP knowledge and resources are strongly encouraged to attend. We also welcome students who wish to closely interact with NLP experts. Potential attendees may come from NLP communities in the medical domain (e.g., AMIA NLP Working Group, BioNLP) and computer and information scientists and linguists working on health-related text processing (e.g., with interests in ACL, EMNLP, NAACL, TREC Precision Medicine and Clinical Decision Support tracks, etc.), as well as general health informatics professionals and researchers.
Agenda
HealthNLP is scheduled as: 7:00 am - 13:00 pm, Victoria time (14:00 pm - 20:00 pm UTC), Aug 9th7:00am | Opening marks, Rui Zhang |
7:10am | Keynote: Summarization for medical question answering Dina Demner Fushman, NLM/NIH |
7:45am | Contrastive Representations Pre-Training for Enhanced Discharge Summary BERT Daeyeon Won, Youngjun Lee, Hojin Choi and Yuchae Jung |
8:00am | A HIE-BERT Model for Diagnosis Assistant Based Kunli Zhang, Bin Hu and Xu Zhao |
8:15am | Deep Transfer Learning for Medical Question Matching Yedan Shen, Xiaowei Huang, Buzhou Tang, Xiaolong Wang, Qingcai Chen and Yuan Ni |
8:30am | A Comparative Study of Pre-trained Language Models for Named Entity Recognition in Clinical Trial Eligibility Criteria from Multiple Corpora Jianfu Li, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor Lobanov, Chunhua Weng and Hua Xu |
8:45am | Developing an Interpretable Etiology Classification Model for Ischemic Stroke Based on Chinese Clinical Practice Guideline Xiaowei Xu, Lu Qin, Zixiao Li and Jiao Li |
9:00am | Break |
9:30am | Topic Extraction from A Cancer Health Forum Samuel Miles, Lixia Yao, Weilin Meng, Christopher M. Black and Zina Ben-Miled |
9:45am | Applying Bayesian hyperparameter optimization towards accurate and efficient topic modeling in clinical notes Minghao Li, Kyeryoung Lee, Zongzhi Liu, Meng Ma, Qi Pan, Rong Chen, Eric Schadt and Xiaoyan Wang |
10:00am | Identification of Dietary Supplement Use from Electronic Health Records Using Transformer-based Language Models Sicheng Zhou, Dalton Schutte, Aiwen Xing, Jiyang Chen, Julian Wolfson, Zhe He, Fang Yu and Rui Zhang |
10:15am | Robustly Pre-Trained Neural Model for Direct Temporal Relation Extraction Hong Guan, Murthy Devarakonda, Jianfu Li and Hua Xu |
10:30am | Identify Diabetic Retinopathy-related Clinical Concepts Using Transformer-based Natural Language Processing Methods Zehao Yu, Xi Yang, Gianna L Sweeting, Yinghan Ma, Ruogu Fang, Yonghui Wu and Skylar E Stolte |
11:00am | Break |
11:30am | Clinical Trial Information Extraction with BERT Xiong Liu, Greg Hersch, Iya Khalil and Murthy Devarakonda |
11:45am | An empirical study of using radiology reports and images to improve ICU-mortality prediction Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang and Yifan Peng |
12:00pm | Dementia Detection using Transformers-Based Deep Learning and Natural Language Processing Models Ploypaphat Saltz, Shih Yin Lin, Sunny Chieh Cheng and Dong Si |
12:15pm | Self-supervised extractive text summarization for biomedical literatures Tianyi Xie, Yi Zhen, Tianqi Li, Chuqin Li and Yaorong Ge |
12:30pm | Impact of detecting clinical trial elements in exploration of COVID-19 literature Simon Suster, Karin Verspoor, Timothy Baldwin, Jey Han Lau, Antonio Jimeno, David Martinez and Yulia Otmakhova |
Important dates
- Deadline for all submissions:
May 1st, 2021 - Notification of decisions:
May 15th, 2021 - Deadline for camera-ready papers:
May 30st, 2021 - Workshop date:
August 9th, 2021 - Deadline for BMC Medical Informatics and Decision Making submissions: August 31th, 2021
Submission and Review
Authors may submit regular papers (4-10 pages, including references) and abstracts (2 pages, including references) in the format used for the ICHI submissions. Developers of NLP tools may submit a demo paper (up to 4 pages, including references) describing the tool, along with a link to a web demonstration (interactive website or a demonstration video). As with ICHI, the workshop will follow single-blind reviewing, therefore submissions should have the names and affiliations of authors listed on the paper. Papers must adhere to the IEEE Proceedings Format available for LaTeX and Word, and submitted as a single PDF file. Submissions will be handled electronically through EasyChair (https://easychair.org/conferences/?conf=healthnlp2021). For more information, please read the detailed submission instructions (link here).
All submissions will undergo a peer review by at least two domain experts from the program committee. The selection of papers and posters will be primarily based on the potential to generate discussion and impact future research directions. Accepted papers will be included in the ICHI 2021 Proceedings and IEEE Digital Library. Selected papers will be invited to publish an extended version of their work in a special issue of BMC Medical Informatics and Decision Making journal (IF=2.317) with a discount publication fee.
Organizers
Chairs:
- Rui Zhang, PhD, Associate Professor, Institute for Health Informatics & College of Pharmacy, University of Minnesota, Minneapolis, MN, US.
- Hua Xu, PhD, Professor, School of Biomedical Informatics, Univeristy of Texas Health Science Center at Houston, Houston, TX, US.
Publication Chair:
- Yifan Peng (Weill Cornell Medicine)
Steering committee:
- Dina Demner Fushman (National Library of Medicine/NIH)
- Wendy Chapman (The University of Melbourne)
- Buzhou Tang (Harbin Institute of Technology)
- Ozlem Uzuner (George Mason University)
- Karin Verspoor (RMIT University)
- Hongfang Liu (Mayo Clinic)
- Stephane Meystre (edical University of South Carolina)
- Yanshan Wang (Mayo Clinic)
Program Committee:
- Alberto Lavelli (Fondazione Bruno Kessler)
- Alec Chapman (University of Utah)
- Carsten Eickhoff (Brown University)
- Chun-Nan Hsu (UCSD)
- Dimitrios Kokkinakis (University of Gothenburg)
- Eiji Aramaki (Nara Institute of Science and Technology)
- Hercules Dalianis (Stockholm University)
- Jianlin Shi (University of Utah)
- Jungwei Fan (Mayo clinic)
- Kirk Roberts (University of Texas Health Science Center at Houston)
- Kunli Zhang (Zhengzhou University)
- Lynette Hirschman (MITRE)
- Manabu Torii (Kaiser Permanente)
- Paea LePendu (University of California, Riverside)
- Samir Abdelrahman (University of Utah)
- Son Doan (Kaiser Permanente)
- Stephen Wu (UTHealth)
- Tanmay Basu (University of Birmingham)
- Udo Hahn (Friedrich Schiller University Jena)
- Vivienne Zhu (Medical University of South Carolina)
- Wei Wang (University of California, Los Angeles)
- Yadan Fan (Nuance)
- Yonghui Wu (University of Florida)
- Yoshinobu Kano (Shizuoka University)
- Zhengxing Huang (Zhejiang University)