Table of Contents

• Building the Foundation of Medical Knowledge GenerationAlistair Johnson. 1 [doi]
• Designing Tools to Counter Violence and Structural OppressionSheena Erete. 2-3 [doi]
• Imbalanced EEG Analysis Using One-Shot Learning with Siamese Neural NetworkMunawara Saiyara Munia, Seyyed MohammadSaleh Hosseini, Mehrdad Nourani, Jay Harvey, Hina Dave. 4-12 [doi]
• A Framework To Build A Causal Knowledge Graph for Chronic Diseases and Cancers By Discovering Semantic Associations from Biomedical LiteratureAli Daowd, Michael Barrett, Samina Abidi, Syed Sibte Raza Abidi. 13-22 [doi]
• Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's DiseaseAlex Fedorov, Tristan Sylvain, Eloy Geenjaar, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, Sergey M. Plis. 23-30 [doi]
• Causal Dynamic Bayesian Networks for the Management of Glucose Control in Gestational DiabetesMariana R. Neves, Bridget J. Daley, Graham A. Hitman, Mohammed S. B. Huda, Scott McLachlan, Sarah Finer, William Marsh 0001. 31-40 [doi]
• An Empirical Investigation of PU Learning for Predicting Length of StayTom Arjannikov, George Tzanetakis. 41-47 [doi]
• Non-transfer Deep Learning of Optical Coherence Tomography for Post-hoc Explanation of Macular Disease ClassificationRaisul Arefin, Manar D. Samad, Furkan A. Akyelken, Arash Davanian. 48-52 [doi]
• Exploring Self-Supervised Graph Learning in Literature-Based DiscoveryJuncheng Ding, Wei Jin. 53-62 [doi]
• Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel LearningZhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp. 63-72 [doi]
• Modeling and Evaluation of Clustering Patient Care into BubblesD. M. Hasibul Hasan, Alex Rohwer, Hankyu Jang, Ted Herman, Philip M. Polgreen, Daniel K. Sewell, Bijaya Adhikari, Sriram V. Pemmaraju. 73-82 [doi]
• CATAN: Chart-aware temporal attention network for adverse outcome predictionZelalem Gero, Joyce C. Ho. 83-92 [doi]
• Dynamic Inductive Transfer Learning with Decision Support Feedback to Optimize Retina AnalysisMuhammad Zubair Khan, Yugyung Lee. 93-100 [doi]
• Development and validation of ECG rhythm classification on a multitude of data sources using Deep LearningV. Krishna Prasad, K. M. Nithin Raj, Srikanth Muthya, Renjith S. Nair. 101-105 [doi]
• Constructed Temporal Features for Longitudinal Classification of Human Ageing DataCaio Eduardo Ribeiro, Alex Alves Freitas. 106-112 [doi]
• Development of a Two-State Gaussian Hidden Markov Model for Modelling Dementia Progression in Patients with Mild Cognitive ImpairmentCallum Canavan, Liam P. Maguire, Magda Bucholc. 113-119 [doi]
• Unsupervised Acute Intracranial Hemorrhage Segmentation With Mixture ModelsKimmo Kärkkäinen, Shayan Fazeli, Majid Sarrafzadeh. 120-129 [doi]
• Deep Staging: An Interpretable Deep Learning Framework for Disease StagingLiuyi Yao, Zijun Yao, Jianying Hu, Jing Gao, Zhaonan Sun. 130-137 [doi]
• Explainable Deep Learning for Readmission Prediction with Tree-GloVe EmbeddingJialiang Jiang, Sharon Hewner, Varun Chandola. 138-147 [doi]
• Neural Medication Extraction: A Comparison of Recent Models in Supervised and Semi-supervised Learning SettingsAli Can Kocabiyikoglu, Jean-Marc Babouchkine, François Portet, Raheel Qader. 148-152 [doi]
• Identifying Mentions of Life Stressors in Clinical NotesShreya Datar, Elizabeth A. Lindemann, Greg M. Silverman, Reed McEwan, Raymond L. Finzel, Michael E. Kotlyar, Genevieve B. Melton, Serguei V. S. Pakhomov. 153-160 [doi]
• Interpretable Phenotyping for Electronic Health RecordsChristine Allen, Juhua Hu, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai. 161-170 [doi]
• On the early detection of Sepsis in MIMIC-IIIManuel Medina, Pietro Sala. 171-180 [doi]
• Identification of Disease-Disease Network Communities in Subpopulations of Patients with Prostate CancerAli Jazayeri, Niusha Jafari, Nikita Nikita, Christopher C. Yang, Grace Lu-Yao. 181-187 [doi]
• Automatic Assignment of ICD-10 Codes to Diagnostic Texts using Transformers Based TechniquesMihai Horia Popescu, Kevin Roitero, Stefano Travasci, Vincenzo Della Mea. 188-192 [doi]
• Quasi Real-time Contactless Physiological Sensing Using Consumer-Grade CamerasDavid Rivest-Hénault, Catherine Pagiatakis, Richard Bernhardt, Thomas Vaughan, Bruno Falardeau, Michael S. D. Smith, Di Jiang. 193-199 [doi]
• Short Window Network for Remote Heart Rate MeasurementKai Zhou, Simon Krause, Timon Blöcher, Wilhelm Stork. 200-208 [doi]
• Psychological Stress Detection in Older Adults with Cognitive Impairment Using PhotoplethysmographyMigyeong Gwak, Tyler Davis, Majid Sarrafzadeh, Ellen Woo. 209-213 [doi]
• Acute Myocardial Infarction Readmission Risk Prediction Model in Admit and Discharge patientsRupanjali Chaudhuri, Vadim Khotilovich, Monica Gaur, K. V. Chetan, Will Zimmerman. 214-218 [doi]
• (M)SLAe-Net: Multi-Scale Multi-Level Attention embedded Network for Retinal Vessel SegmentationShreshth Saini, Geetika Agrawal. 219-223 [doi]
• Modelling a Good Delivery of Bad NewsVered Aharonson, Brittany Cocker, Keren Buisson-Street, Danielle Winter. 224-227 [doi]
• Interactive Range Queries for Healthcare Data under Differential PrivacyAsma Alnemari, Rajendra K. Raj, Carol J. Romanowski, Sumita Mishra. 228-237 [doi]
• PORT: Pooled Ordered Rectangular Testing for Improved Public Health ScreeningTerrance E. Boult, Yanyan Zhuang. 238-242 [doi]
• Can recurrent models know more than we do?Noah Lewis, Robyn L. Miller, Harshvardhan Gazula, Md Mahfuzur Rahman, Armin Iraji, Vince D. Calhoun, Sergey M. Plis. 243-247 [doi]
• Statistical Analytics and Regional Representation Learning for COVID-19 Pandemic UnderstandingShayan Fazeli, Babak Moatamed, Majid Sarrafzadeh. 248-257 [doi]
• Topic-to-Topic Modeling for COVID-19 MortalityJeffrey Humpherys, Ahmad Halwani, Barbara Jones, Makoto M. Jones, Matthew H. Samore, Sadiqa Mahmood, Dale Sanders. 258-264 [doi]
• "Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on RedditManas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth. 265-269 [doi]
• A Decision Guidance System for COVID-19 Comprehensive Mitigation with Pareto-Optimal Health, Cost and Productivity OutcomesAnita Tadakamalla, Paul McKerley, Alexander Brodsky, Amira Roess. 270-279 [doi]
• Secure Health Information Exchange (S-HIE) Protocol with Reduced Round-Trip CountMonique Mezher, Nathan Hellmuth, Ahmed Ibrahim. 280-288 [doi]
• Electronic Patient Records as a Substrate for Collaboration for Distributed Care in Low-Resource ContextsSaptarshi Purkayastha. 289-295 [doi]
• An Experiment to Convert Structured Product Labels into Computable Prescribing InformationAllen J. Flynn, Charlie Huang, Natalie Lampa, George Meng, Nate Gittlen, Adam Beck, Brooke Raths, Peter Boisvert. 296-300 [doi]
• ASCAPE: An open AI ecosystem to support the quality of life of cancer patientsKonstantinos Lampropoulos, Thanos Kosmidis, Serge Autexier, Milos Savic, Manos Athanatos, Miltiadis Kokkonidis, Tzortzia Koutsouri, Anamaria Vizitiu, Antonios Valachis, Miriam Quintero Padron. 301-310 [doi]
• Embedding Electronic Health Records to Learn BERT-based Models for Diagnostic Decision SupportRui Tang, Haishen Yao, Zhaowei Zhu, Xingzhi Sun, Gang Hu, Yichong Li, Guotong Xie. 311-319 [doi]
• VitalHub: Robust, Non-Touch Multi-User Vital Signs Monitoring using Depth Camera-Aided UWBZongxing Xie, Bing Zhou 0001, Xi Cheng, Elinor Schoenfeld, Fan Ye 0003. 320-329 [doi]
• A virtual assistant dedicated to supporting day-to-day medical consultationsAntoine Richard, Brice Mayag, François Talbot, Alexis Tsoukiàs, Yves Meinard. 330-338 [doi]
• Multi-Task Transfer Learning with Data Augmentation for Recognizing Question Entailment in the Medical DomainMourad Sarrouti, Asma Ben Abacha, Dina Demner-Fushman. 339-346 [doi]
• Using Wi-Fi Infrastructure to Predict Contacts During PandemicsJanusz Wojtusiak, Ying Wang, Varalakshmi Vakkalagadda, Farrokh Alemi, Amira Roess. 347-356 [doi]
• Ultra-low Power Beacon-based Hand Hygiene Assistance System for Hospitals and Care FacilitiesBelmin Alic, Gongbo Chen, Burkhard Heidemann, Karsten Seidl. 357-361 [doi]
• Exploring Suicidality on Social Media: Qualitative Analysis of TwitterI'Sis Perry, Albert Park. 362-371 [doi]
• Implementing Community-Based Participatory Design and Mixed Methods to capture and Analyze Mental Models of no/low Literate UsersAkolade I. Asipade, Jakita Owensby Thomas, Yolanda A. Rankin. 372-380 [doi]
• Visualizing College Students' Geo-Temporal Context-Varying Significant Phone Call PatternsSayanton V. Dibbo, Yugyeong Kim, Sudip Vhaduri, Christian Poellabauer. 381-385 [doi]
• ActiThings: Reminders for physical activity exercises in daily lives of inactive older adultsJochen Meyer 0001, Elke Beck, Kai von Holdt, Frauke Koppelin, Alexander Pauls, Susanne Boll. 386-395 [doi]
• The Usability and Trustworthiness of Medical Eye ImagesDaniel Diethei, Ashley Colley, Lisa Dannenberg, Muhammad Fawad Jawaid Malik, Johannes Schöning. 396-405 [doi]
• Towards an Artifact-Supported Performance Management Framework for Collaborative Care DeliveryRubina Lakhani, Liam Peyton, Craig E. Kuziemsky. 406-414 [doi]
• Electronic Medical Record Specialty Group Comparison by Multinomial Logistic RegressionKatie Wilkinson, Kangwon Seo, Robert Pierce, Peter J. Tonellato, Jung Hyup Kim, Danny Myers. 415-421 [doi]
• Machine Learning Approaches for Patient State Prediction in Pediatric ICUsMuhammad Aurangzeb Ahmad, Eduardo Trujillo-Rivera, Pollack M. D. Murray, Eckert M. D. Carly, Patel M. D. Anita, Ankur Teredesai. 422-426 [doi]
• Machine Learning Approaches for Pressure Injury PredictionMuhammad Aurangzeb Ahmad, Barrett Larson, Steve Overman, Vikas Kumar, Jing Xie, Alan Rossington, Ankur Patel, Ankur Teredesai. 427-431 [doi]
• Towards Wrist-worn Photoplethysmography Sensing for Medical ApplicationsDaniel Ray. 432-433 [doi]
• Federated learning for AI to improve patient care using wearable and IoMT sensorsArshad Farhad, Sandra I. Woolley, Peter Andras 0001. 434 [doi]
• Predicting Avoidable Emergency Department Visits Using the NHAMCS DatasetSongzi Liu, Jingzhi Yu, Yuyang Yang. 435-436 [doi]
• Development Process for Self-adaptive Applications of the Internet of Health Things based on Movement PatternsEvilásio Costa Junior, Rossana Maria de Castro Andrade, Leonardo Sampaio Rocha. 437-438 [doi]
• Hospital at Home Program: Barriers to AdoptionShabana Kapadia, Avi Parush, Sonya Kung, Edoye Porbeni. 439-440 [doi]
• Designing a core competency framework for U.K. clinical informaticiansAlan Davies, Julia Mueller, Alan Hassey, Georgina Moulton. 441-442 [doi]
• Inconsistencies in handling missing data across stages of prediction modelling: a review of methods usedAntonia Tsvetanova, Matthew Sperrin, Niels Peek, Iain E. Buchan, Stephanie L. Hyland, Glen P. Martin. 443-444 [doi]
• Clinical data annotation for parotid neoplasia managementPierangelo Veltri, Patrizia Vizza, Mariagiulia Cristofaro, Elvis Kallaverja. 445-446 [doi]
• Deep Leakage from Gradients in Multiple-label Medical Image ClassificationZheng Li, Mykola Hubchak, Yingying Zhu. 447-448 [doi]
• mHealthAtlas - An expert-based multi-sided platform for the evaluation of mHealth applicationsNicolas J. Lehmann, Muhammed-Ugur Karagülle, Felix Spielmann, Bianca George, Benjamin Zick, Joel Heuer, Eike Taegener, Abd Alah Fahed, Agnès Voisard, Joachim W. Fluhr. 449-450 [doi]
• SARS-CoV-2 Ribosomal Frameshifting Pseudoknot: Detection of Inter-viral Structural SimilarityLuke Trinity, Lance Lansing, Hosna Jabbari, Ulrike Stege. 451-460 [doi]
• Information Exchange in Online Health Communities Discussing COVID-19Michal Monselise, Christopher C. Yang. 461-469 [doi]
• In silico prediction of COVID-19 test efficiency with DinoKnotTara Newman, Hiu Fung Kevin Chang, Hosna Jabbari. 470-479 [doi]
• Health Informatics: Clinical Information Systems and Artificial Intelligence to Support Medicine in the CoViD-19 PandemicCarlo Combi, Giuseppe Pozzi. 480-488 [doi]
• A HIE-BERT Model for Diagnosis Assistant Based on Chinese Obstetric EMRsKunli Zhang, Bin Hu, Xu Zhao, Yu Song, Lei Zhuang, Hongving Zan. 489-490 [doi]
• Topic Extraction from A Cancer Health ForumSamuel Miles, Lixia Yao, Weilin Meng, Christopher M. Black, Zina Ben-Miled. 491-492 [doi]
• Applying Bayesian hyperparameter optimization towards accurate and efficient topic modeling in clinical notesMinghao Li, Kyeryoung Lee, Zongzhi Liu, Meng Ma, Qi Pan, Rong Chen, Eric Schadt, Xiaoyan Wang. 493-494 [doi]
• Impact of detecting clinical trial elements in exploration of COVID-19 literatureSimon Suster, Karin M. Verspoor, Timothy Baldwin, Jey Han Lau, Antonio Jimeno-Yepes, David Martinez Iraola, Yulia Otmakhova. 495-496 [doi]
• An empirical study of using radiology reports and images to improve ICU-mortality predictionMingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng. 497-498 [doi]
• Identify Diabetic Retinopathy-related Clinical Concepts Using Transformer-based Natural Language Processing MethodsZehao Yu, Xi Yang 0015, Gianna L. Sweeting, Yinghan Ma, Skylar E. Stolte, Ruogu Fang, Yonghui Wu. 499-500 [doi]
• Robustly Pre-Trained Neural Model for Direct Temporal Relation ExtractionHong Guan, Jianfu Li, Hua Xu, Murthy V. Devarakonda. 501-502 [doi]
• Self-supervised extractive text summarization for biomedical literaturesTianyi Xie, Yi Zhen, Tianqi Li, Chuqin Li, Yaorong Ge. 503-504 [doi]
• Clinical Trial Information Extraction with BERTXiong Liu, Greg L. Hersch, Iya Khalil, Murthy V. Devarakonda. 505-506 [doi]
• Contrastive Representations Pre-Training for Enhanced Discharge Summary BERTDae-Yeon Won, YoungJun Lee, Ho-Jin Choi, Yuchae Jung. 507-508 [doi]
• Dementia Detection using Transformer-Based Deep Learning and Natural Language Processing ModelsPloypaphat Saltz, Shih-Yin Lin, Sunny Chieh Cheng, Dong-Si. 509-510 [doi]
• Study of Pre-trained Language Models for Named Entity Recognition in Clinical Trial Eligibility Criteria from Multiple CorporaJianfu Li, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor S. Lobanov, Chunhua Weng, Hua Xu 0001. 511-512 [doi]
• Identification of Dietary Supplement Use from Electronic Health Records Using Transformer-based Language ModelsSicheng Zhou, Dalton Schutte, Aiwen Xing, Jiyang Chen, Julian Wolfson, Zhe He 0001, Fang Yu, Rui Zhang 0028. 513-514 [doi]
• A Deep Transfer Learning Method for Medical Question MatchingYedan Shen, Xiaowei Huang, Buzhou Tang, Xiaolong Wang 0001, Qingcai Chen, Yuan Ni. 515-516 [doi]
• Developing an Interpretable Etiology Classification Model for Ischemic Stroke Based on Chinese Clinical Practice GuidelineXiaowei Xu, Lu Qin, Zixiao Li, Jiao Li. 517-518 [doi]
• Accurate COVID-19 Health Outcome Prediction and Risk Factors Identification through an Innovative Machine Learning Framework Using Longitudinal Electronic Health RecordsAlice Feng. 519-526 [doi]
• An automated feature selection and classification pipeline to improve explainability of clinical prediction modelsPedro A. Moreno-Sanchez. 527-534 [doi]
• Creutzfeldt-Jakob Disease Prediction Using Machine Learning TechniquesArnav Bhakta, Carolyn Byrne. 535-542 [doi]
• Forecasting Trends of Tuberculosis in India using Artificial Intelligence and Machine LearningJay Dulera, Rohan Ghosalkar, Arnav Bagchi, Khushi Makhijani, Nupur Giri. 543-547 [doi]
• NLP-Based Prediction of Medical Specialties at Hospital Admission Using Triage NotesÉmilien Arnaud, Mahmoud Elbattah, Maxime Gignon, Gilles Dequen. 548-553 [doi]
• Fairness in Healthcare AIMuhammad Aurangzeb Ahmad, Carly Eckert, Christine Allen, Vikas Kumar, Juhua Hu, Ankur Teredesai. 554-555 [doi]
• Mining genetic, transcriptomic and imaging data in Parkinson's diseaseGuglielmo Cerri, Manuel Tognon, André Altmann, Rosalba Giugno. 556-557 [doi]