Keynote 1

• Building the foundation of medical knowledge generation, Alistair Johnson

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

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

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

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

Tutorial 1 – Fairness in Healthcare AI

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