Doctoral Consortium – Track

• Towards wrist-worn photoplethysmography sensing for medical applications, Daniel Ray
• Federated learning for AI to improve patient care using wearable and IoMT sensors, Arshad Farhad, Sandra Woolley and Peter Andras
• Predicting avoidable emergency department visits using the NHAMCS dataset, Songzi Liu, Jingzhi Yu, and Yuyang Yang
• Development process of self-adaptive applications of the Internet of health things based on movement patterns, Evilasio Costa Junior, Rossana Maria de Castro Andrade and Leonardo Sampaio Rocha

Workshop 1 – HealthNLP2021 – The Fourth International Workshop on Health Natural Language Processing

• A HIE-BERT model for diagnosis assistant based on Chinese obstetric EMRs, Kunli Zhang, Bin Hu, Xu Zhao, Yu Song, Lei Zhuang and Hongying Zan
• Topic extraction from cancer health forum, Samuel Miles, Lixia Yao, Weilin Meng, Christopher M. Black and Zina Ben-Miled
• 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
• Impact of detecting clinical trial elements in exploration of CoViD-19 literature, Simon Suster, Karin Verspoor, Timothy Baldwin, Jey Han Lau, Antonio Jimeno Yepes, David Martinez Iraola and Yulia Otmakhova
• 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
• Identify diabetic retinopathy-related clinical concepts using transformer-based natural language processing methods, Zehao Yu, Xi Yang, Gianna L Sweeting, Yinghan Ma, Skylar E Stolte, Ruogu Fang and Yonghui Wu
• Robustly pre-trained neural model for direct temporal relation extraction, Hong Guan, Jianfu Li, Hua Xu and Murthy Devarakonda
• Self-supervised extractive text summarization for biomedical literatures, Tianyi Xie, Yi Zhen, Tianqi Li, Chuqin Li and Yaorong Ge
• Clinical trial information extraction with BERT, Xiong Liu, Greg L. Hersch, Iya Khalil and Murthy Devarakonda
• Contrastive representations pre-training for enhanced discharge summary BERT, DaeYeon Won, YoungJun Lee, Ho-Jin Choi and YuChae Jung
• Dementia detection using transformer-based deep learning and natural language processing models, Ploypaphat Saltz, Shih Yin Lin, Sunny Chieh Cheng and Dong Si
• 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
• 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
• A deep transfer learning method for medical question matching, Yedan Shen, Xiaowei Huang, Buzhou Tang, Xiaolong Wang, Qingcai Chen and Yuan Ni
• Developing an interpretable etiology classification model for ischemic stroke based on Chinese clinical practice guideline, Xiaowei Xu, Lu Qin, Zixiao Li and Jiao Li

Workshop 2 – Machine Learning in Healthcare Data for Precision Medicine (2021)

• Accurate CoViD-19 health outcome prediction and risk factors identification through an innovative machine learning framework using longitudinal electronic health records, Alice Feng
• An automated feature selection and classification pipeline to improve explainability of clinical prediction models, Pedro A. Moreno-Sanchez
• Creutzfeldt-Jakob disease prediction using machine learning techniques, Arnav Bhakta and Carolyn Byrne
• Forecasting trends of tuberculosis in India using artificial intelligence and machine learning, Jay Dulera, Rohan Ghosalkar, Arnav Bagchi, Khushi Makhijani and Nupur Giri
• NLP-based prediction of medical specialties at hospital admission using triage notes, Emilien Arnaud, Mahmoud Elbattah, Maxime Gignon and Gilles Dequen