Analytics 1 – Learning (1)

• Imbalanced EEG analysis using one-shot learning with Siamese neural network, Munawara Saiyara Munia, Seyyed MohammadSaleh Hosseini, Mehrdad Nourani, Jay Harvey and Hina Dave
• A framework to build a causal knowledge graph for chronic diseases and cancers by discovering semantic associations from biomedical literature, Ali Daowd, Michael Barrett, Samina Abidi and Syed Sibte Raza Abidi
• Self-supervised multimodal domino: in search of biomarkers for Alzheimer’s disease, Alex Fedorov, Tristan Sylvain, Eloy Geenjaar, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun and Sergey M. Plis
• Causal dynamic Bayesian networks for the management of glucose control in gestational diabetes, Mariana R. Neves, Bridget J. Daley, Graham A. Hitman, Mohammed S. B. Huda, Scott McLachlan, Sarah Finer and William Marsh
• An empirical investigation of PU learning for predicting length of stay, Tom Arjannikov and George Tzanetakis
• Non-transfer Deep Learning of Optical Coherence Tomography for Post-hoc Explanation of Macular Disease Classification, Raisul Arefin, Manar Samad, Furkan Akyelken and Arash Davanian

Analytics 2 – Learning (2)

• Exploring self-supervised graph learning in literature-based discovery, Juncheng Ding and Wei Jin
• Quantifying predictive uncertainty in medical image analysis with deep kernel learning, Zhiliang Wu, Yinchong Yang, Jindong Gu and Volker Tresp
• Modeling and evaluation of clustering patient care into bubbles, D. M. Hasibul Hasan, Alex Rohwer, Hankyu Jang, Ted Herman, Philip Polgreen, Daniel Sewell, Bijaya Adhikari and Sriram Pemmaraju
• CATAN: Chart-aware temporal attention network for adverse outcome prediction, Zelalem Gero and Joyce C. Ho
• Dynamic inductive transfer learning with decision support feedback to optimize retina analysis, Muhammad Zubair Khan and Yugyung Lee
• Development and validation of ECG rhythm classification on a multitude of data sources using deep learning, Krishna Prasad Veluthakkal, Nithin Raj Karikkappilly Madhusoodanan, Srikanth Muthya and Renjith Somanathan Nair

Analytics 3 – Learning (3)

• Constructed temporal features for longitudinal classification of human ageing data, Caio Ribeiro and Alex Freitas
• Development of a two-state Gaussian hidden Markov model for modelling dementia progression in patients with mild cognitive impairment, Callum Canavan, Liam P. Maguire and Magda Bucholc
• Unsupervised acute intracranial hemorrhage segmentation with mixture models, Kimmo Karkkainen, Shayan Fazeli and Majid Sarrafzadeh
• Deep staging: an interpretable deep learning framework for disease staging, Liuyi Yao, Zijun Yao, Jianying Hu, Jing Gao and Zhaonan Sun
• Explainable deep learning for readmission prediction with Tree-GloVe embedding, Jialiang Jiang, Sharon Hewner and Varun Chandola
• Neural medication extraction: a comparison of recent models in supervised and semi-supervised learning settings, Ali Can Kocabiyikoglu, Francois Portet, Raheel Qader and Jean-Marc Babouchkine

Analytics 4 – EHR and DS

• Identifying mentions of life stressors in clinical notes, Shreya Datar, Elizabeth A. Lindemann, Greg Silverman, Reed McEwan, Raymond Finzel, Michael Kotlyar, Genevieve B. Melton and Serguei V. S. Pakhomov
• Interpretable phenotyping for electronic health records, Christine Allen, Juhua Hu, Vikas Kumar, Muhammad Aurangzeb Ahmad and Ankur Teredesai
• On the early detection of sepsis in MIMIC-III, Manuel Medina and Pietro Sala
• Identification of disease-disease network communities in subpopulations of patients with prostate cancer, Ali Jazayeri, Niusha Jafari, Nikita Nikita, Christopher C. Yang and Grace Lu-Yao
• Automatic assignment of ICD-10 codes to diagnostic texts using transformers based techniques, Mihai Horia Popescu, Kevin Roitero, Stefano Travasci and Vincenzo Della Mea

Analytics 5 – Diagnosis

• Quasi real-time contactless physiological sensing using consumer-grade cameras, David Rivest-Henault, Catherine Pagiatakis, Richard Bernhardt, Thomas Vaughan, Bruno Falardeau, Michael S. D. Smith and Di Jiang
• Short window network for remote heart rate measurement, Kai Zhou, Simon Krause, Timon Bloecher and Wilhelm Stork
• Psychological stress detection in older adults with cognitive impairment using photoplethysmography, Migyeong Gwak, Tyler Davis, Majid Sarrafzadeh and Ellen Woo
• Acute myocardial infarction readmission risk prediction model in admit and discharge patients, Rupanjali Chaudhuri, Vadim Khotilovich, Monica Gaur, Chetan Kv and Will Zimmerman
• (M)SLAe-Net: Multi-scale multi-level attention embedded network for retinal vessel segmentation, Shreshth Saini and Geetika Agrawal

Analytics 6 – Healthcare related process

• Modelling a good delivery of bad news, Vered Aharonson, Brittany Cocker, Keren Buisson-Street and Danielle Winter
• Interactive range queries for healthcare data under differential privacy, Asma Alnemari, Rajendra Raj, Carol Romanowski and Sumita Mishra
• PORT: pooled ordered rectangular testing for improved public health screening, Terrance Boult and Yanyan Zhuang
• Can recurrent models know more than we do?, Noah Lewis, Robyn Miller, Harshvardhan Gazula, Md Mahfuzur Rahman, Armin Iraji, Vince D. Calhoun and Sergey M. Plis

Analytics 7 – Analytics for pandemic

• Statistical analytics and regional representation learning for CoViD-19 pandemic understanding, Shayan Fazeli, Babak Moatamed and Majid Sarrafzadeh
• Topic-to-topic modeling for CiViD-19 mortality, Jeffrey Humpherys, Ahmad Halwani, Barbara E. Jones, Makoto M. Jones, Matthew H. Samore, Sadiqa Mahmood and Dale Sanders
• “Who can help me?”: knowledge infused matching of support seekers and support providers during CoViD-19 on Reddit, Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava and Amit Sheth
• A decision guidance system for CoViD-19 comprehensive mitigation with pareto-optimal health, cost and productivity outcomes, Anita Tadakamalla, Paul McKerley, Alexander Brodsky and Amira Roess

Systems 1 – EHR and care

• Secure health information exchange (S-HIE) protocol with reduced round-trip count, Monique Mezher, Nathan Hellmuth and Ahmed Ibrahim
• Electronic patient records as a substrate for collaboration for distributed care in low-resource contexts, Saptarshi Purkayastha
• An experiment to convert structured product labels into computable prescribing information, Allen Flynn, Charlie Huang, Natalie Lampa, George Meng, Nate Gittlen, Adam Beck, Brooke Raths and Peter Boisvert
• ASCAPE: an open AI ecosystem to support the quality of life of cancer patients, Konstantinos Lampropoulos, Thanos Kosmidis, Serge Autexier, Milos Savic, Manos Athanatos, Miltiadis Kokkonidis, Tzortzia Koutsouri, Anamaria Vizitiu, Antonios Valachis and Miriam Quintero Padron
• Embedding electronic health records to Learn BERT-based models for diagnostic decision support, Rui Tang, Haishen Yao, Zhaowei Zhu, Xingzhi Sun, Gang Hu, Yichong Li and Guotong Xie

Systems 2 – Monitoring and assisting

• VitalHub: robust, non-touch multi-user vital signs monitoring using depth camera-aided UWB, Zongxing Xie, Bing Zhou, Xi Cheng, Elinor Schoenfeld and Fan Ye
• A virtual assistant dedicated to supporting day-to-day medical consultations, Antoine Richard, Brice Mayag, Francois Talbot, Alexis Tsoukias and Yves Meinard
• Multi-task transfer learning with data augmentation for recognizing question entailment in the medical domain, Mourad Sarrouti, Asma Ben Abacha and Dina Demner-Fushman
• Using Wi-Fi infrastructure to predict contacts during pandemics, Janusz Wojtusiak, Ying Wang, Varalakshmi Vakkalagadda, Farrokh Alemi and Amira Roess
• Ultra-low power beacon-based hand hygiene assistance system for hospitals and care facilities, Belmin Alic, Gongbo Chen, Burkhard Heidemann and Karsten Seidl

Human Factors 1 – Social media and mobile apps

• Exploring suicidality on social media: qualitative analysis of twitter, I’Sis Perry and Albert Park
• Implementing community-based participatory design and mixed methods to capture and analyze mental models of no/low literate users, Akolade I. Asipade, Jakita O. Thomas and Yolanda A. Rankin
• Visualizing college students’ geo-temporal context-varying significant phone call patterns, Sayanton V. Dibbo, Yugyeong Kim, Sudip Vhaduri and Christian Poellabauer

Human Factors 2 – Assistance and care

• ActiThings: reminders for physical activity exercises in daily lives of inactive older adults, Jochen Meyer, Elke Beck, Kai von Holdt, Frauke Koppelin, Alexander Pauls and Susanne Boll
• The usability and trustworthiness of medical eye images, Daniel Diethei, Ashley Colley, Lisa Dannenberg, Muhammad Fawad Jawaid Malik and Johannes Schoening
• Towards an artifact-supported performance management framework for collaborative care delivery, Rubina Lakhani, Liam Peyton and Craig Kuziemsky
• Electronic medical record specialty group comparison by multinomial logistic regression, Katie Wilkinson, Kangwon Seo, Robert Pierce, Peter Tonellato, Jung Hyup Kim and Danny Myers

Industry – Track

• Machine learning approaches for patient state prediction in pediatric ICUs, Muhammad Aurangzeb Ahmad, Eduardo Antonio Trujillo Rivera, Murray Pollack, , Carly Eckert, Anita Patel and Ankur Teredesai
• Machine learning approaches for pressure injury prediction, Muhammad Aurangzeb Ahmad, Barrett Larson, Steve Overman, Vikas Kumar, Jing Xie, Alan Rossington, Ankur Patel and Ankur Teredesai
• The challenges and upside of blending complementary analytics across multiple companies, David Meyer
• The power of clinical laboratory data, Sonny Varadan

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

Posters and demo – Rapid fire presentation

• Hospital at home program: barriers to adoption, Shabana Kapadia, Avi Parush, Sonya Kung and Edoye Porbeni
• Designing a core competency framework for U.K. clinical informaticians, Alan Davies, Julia Mueller, Alan Hassey and Georgina Moulton
• Inconsistencies in handling missing data across stages of prediction modelling: a review of methods used, Antonia Tsvetanova, Matthew Sperrin, Niels Peek, Iain Buchan, Stephanie Hyland and Glen Martin
• Clinical data annotation for parotid neoplasia management, Pierangelo Veltri, Patrizia Vizza, Mariagiulia Cristofaro and Elvis Kallaverja
• Deep leakage from gradients in multiple-label medical image classification, Zheng Li, Mykola Hubchak and Yingying Zhu
• mHealthAtlas – An expert-based multi-sided platform for the evaluation of mHealth applications, Nicolas J. Lehmann, Muhammed-Ugur Karagulle, Felix Spielmann, Bianca George, Benjamin Zick, Joel Heuer, Eike Taegener, Abd Alah Fahed, Agnes Voisard and Joachim W. Fluhr

CoViD-19 – Special track

• SARS-CoV-2 ribosomal frameshifting pseudoknot: detection of inter-viral structural similarity, Luke Trinity, Lance Lansing, Hosna Jabbari and Ulrike Stege
• Information exchange in online health communities discussing CoViD-19, Michal Monselise and Christopher C. Yang
• In silico prediction of CoViD-19 test efficiency with DinoKnot, Tara Newman, Hiu Fung Kevin Chang and Hosna Jabbari
• Health informatics: clinical information systems and artificial intelligence to support medicine in the CoViD-19 pandemic, Carlo Combi and Giuseppe Pozzi

Tutorial 1 – Fairness in Healthcare AI

• Fairness in healthcare AI, Muhammad Aurangzeb Ahmad, Carly Eckert, Christine Allen, Vikas Kumar, Juhua Hu and Ankur Teredesai

Tutorial 2 – Mining Genetic, Transcriptomic, and Imaging Data in Parkinson’s Disease

• Mining genetic, transcriptomic, and imaging data in Parkinson’s disease, Guglielmo Cerri, Manuel Tognon, Andre Altmann and Rosalba Giugno

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