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ORCID9th ICHI 2021: Victoria, BC, Canada
- 9th IEEE International Conference on Healthcare Informatics, ICHI 2021, Victoria, BC, Canada, August 9-12, 2021. IEEE 2021, ISBN 978-1-6654-0132-6
- Alistair E. W. Johnson:
Building the Foundation of Medical Knowledge Generation. 1 - Sheena Erete:
Designing Tools to Counter Violence and Structural Oppression. 2-3 - Munawara Saiyara Munia, Seyyed MohammadSaleh Hosseini, Mehrdad Nourani, Jay Harvey, Hina Dave:
Imbalanced EEG Analysis Using One-Shot Learning with Siamese Neural Network. 4-12 - Ali Daowd
, Michael Barrett, Samina Abidi, Syed Sibte Raza Abidi:
A Framework To Build A Causal Knowledge Graph for Chronic Diseases and Cancers By Discovering Semantic Associations from Biomedical Literature. 13-22 - Alex Fedorov, Tristan Sylvain, Eloy Geenjaar, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, Sergey M. Plis:
Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease. 23-30 - Mariana R. Neves, Bridget J. Daley, Graham A. Hitman, Mohammed S. B. Huda, Scott McLachlan, Sarah Finer, William Marsh:
Causal Dynamic Bayesian Networks for the Management of Glucose Control in Gestational Diabetes. 31-40 - Tom Arjannikov, George Tzanetakis:
An Empirical Investigation of PU Learning for Predicting Length of Stay. 41-47 - Raisul Arefin, Manar D. Samad, Furkan A. Akyelken, Arash Davanian:
Non-transfer Deep Learning of Optical Coherence Tomography for Post-hoc Explanation of Macular Disease Classification. 48-52 - Juncheng Ding, Wei Jin:
Exploring Self-Supervised Graph Learning in Literature-Based Discovery. 53-62 - Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp:
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning. 63-72 - D. M. Hasibul Hasan, Alex Rohwer, Hankyu Jang, Ted Herman, Philip M. Polgreen, Daniel K. Sewell, Bijaya Adhikari, Sriram V. Pemmaraju:
Modeling and Evaluation of Clustering Patient Care into Bubbles. 73-82 - Zelalem Gero, Joyce C. Ho:
CATAN: Chart-aware temporal attention network for adverse outcome prediction. 83-92 - Muhammad Zubair Khan, Yugyung Lee:
Dynamic Inductive Transfer Learning with Decision Support Feedback to Optimize Retina Analysis. 93-100 - V. Krishna Prasad, K. M. Nithin Raj, Srikanth Muthya, Renjith S. Nair:
Development and validation of ECG rhythm classification on a multitude of data sources using Deep Learning. 101-105 - Caio Eduardo Ribeiro, Alex Alves Freitas:
Constructed Temporal Features for Longitudinal Classification of Human Ageing Data. 106-112 - Callum Canavan, Liam P. Maguire, Magda Bucholc:
Development of a Two-State Gaussian Hidden Markov Model for Modelling Dementia Progression in Patients with Mild Cognitive Impairment. 113-119 - Kimmo Kärkkäinen, Shayan Fazeli, Majid Sarrafzadeh:
Unsupervised Acute Intracranial Hemorrhage Segmentation With Mixture Models. 120-129 - Liuyi Yao, Zijun Yao, Jianying Hu, Jing Gao, Zhaonan Sun:
Deep Staging: An Interpretable Deep Learning Framework for Disease Staging. 130-137 - Jialiang Jiang, Sharon Hewner, Varun Chandola:
Explainable Deep Learning for Readmission Prediction with Tree-GloVe Embedding. 138-147 - Ali Can Kocabiyikoglu, Jean-Marc Babouchkine, François Portet, Raheel Qader:
Neural Medication Extraction: A Comparison of Recent Models in Supervised and Semi-supervised Learning Settings. 148-152 - Shreya Datar, Elizabeth A. Lindemann, Greg M. Silverman, Reed McEwan, Raymond L. Finzel, Michael E. Kotlyar, Genevieve B. Melton, Serguei V. S. Pakhomov:
Identifying Mentions of Life Stressors in Clinical Notes. 153-160 - Christine Allen, Juhua Hu, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Interpretable Phenotyping for Electronic Health Records. 161-170 - Manuel Medina, Pietro Sala:
On the early detection of Sepsis in MIMIC-III. 171-180 - Ali Jazayeri, Niusha Jafari, Nikita Nikita, Christopher C. Yang, Grace Lu-Yao:
Identification of Disease-Disease Network Communities in Subpopulations of Patients with Prostate Cancer. 181-187 - Mihai Horia Popescu, Kevin Roitero, Stefano Travasci, Vincenzo Della Mea:
Automatic Assignment of ICD-10 Codes to Diagnostic Texts using Transformers Based Techniques. 188-192 - David Rivest-Hénault, Catherine Pagiatakis, Richard Bernhardt, Thomas Vaughan, Bruno Falardeau, Michael S. D. Smith, Di Jiang:
Quasi Real-time Contactless Physiological Sensing Using Consumer-Grade Cameras. 193-199 - Kai Zhou, Simon Krause, Timon Blöcher, Wilhelm Stork:
Short Window Network for Remote Heart Rate Measurement. 200-208 - Migyeong Gwak, Tyler Davis, Majid Sarrafzadeh, Ellen Woo:
Psychological Stress Detection in Older Adults with Cognitive Impairment Using Photoplethysmography. 209-213 - Rupanjali Chaudhuri, Vadim Khotilovich, Monica Gaur, K. V. Chetan, Will Zimmerman:
Acute Myocardial Infarction Readmission Risk Prediction Model in Admit and Discharge patients. 214-218 - Shreshth Saini, Geetika Agrawal:
(M)SLAe-Net: Multi-Scale Multi-Level Attention embedded Network for Retinal Vessel Segmentation. 219-223 - Vered Aharonson, Brittany Cocker, Keren Buisson-Street, Danielle Winter:
Modelling a Good Delivery of Bad News. 224-227 - Asma Alnemari, Rajendra K. Raj, Carol J. Romanowski, Sumita Mishra:
Interactive Range Queries for Healthcare Data under Differential Privacy. 228-237 - Terrance E. Boult, Yanyan Zhuang:
PORT: Pooled Ordered Rectangular Testing for Improved Public Health Screening. 238-242 - Noah Lewis, Robyn L. Miller, Harshvardhan Gazula, Md Mahfuzur Rahman, Armin Iraji, Vince D. Calhoun, Sergey M. Plis:
Can recurrent models know more than we do? 243-247 - Shayan Fazeli, Babak Moatamed, Majid Sarrafzadeh:
Statistical Analytics and Regional Representation Learning for COVID-19 Pandemic Understanding. 248-257 - Jeffrey Humpherys, Ahmad Halwani, Barbara E. Jones, Makoto M. Jones, Matthew H. Samore, Sadiqa Mahmood, Dale Sanders:
Topic-to-Topic Modeling for COVID-19 Mortality. 258-264 - Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth:
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. 265-269 - Anita Tadakamalla, Paul McKerley, Alexander Brodsky, Amira Roess:
A Decision Guidance System for COVID-19 Comprehensive Mitigation with Pareto-Optimal Health, Cost and Productivity Outcomes. 270-279 - Monique Mezher, Nathan Hellmuth, Ahmed Ibrahim:
Secure Health Information Exchange (S-HIE) Protocol with Reduced Round-Trip Count. 280-288 - Saptarshi Purkayastha:
Electronic Patient Records as a Substrate for Collaboration for Distributed Care in Low-Resource Contexts. 289-295 - Allen J. Flynn, Charlie Huang, Natalie Lampa, George Meng, Nate Gittlen, Adam Beck, Brooke Raths, Peter Boisvert:
An Experiment to Convert Structured Product Labels into Computable Prescribing Information. 296-300 - Konstantinos Lampropoulos, Thanos Kosmidis, Serge Autexier, Milos Savic, Manos Athanatos, Miltiadis Kokkonidis, Tzortzia Koutsouri, Anamaria Vizitiu, Antonios Valachis, Miriam Quintero Padron:
ASCAPE: An open AI ecosystem to support the quality of life of cancer patients. 301-310 - Rui Tang, Haishen Yao, Zhaowei Zhu, Xingzhi Sun, Gang Hu, Yichong Li, Guotong Xie:
Embedding Electronic Health Records to Learn BERT-based Models for Diagnostic Decision Support. 311-319 - Zongxing Xie, Bing Zhou, Xi Cheng, Elinor Schoenfeld, Fan Ye:
VitalHub: Robust, Non-Touch Multi-User Vital Signs Monitoring using Depth Camera-Aided UWB. 320-329 - Antoine Richard, Brice Mayag, François Talbot, Alexis Tsoukiàs, Yves Meinard:
A virtual assistant dedicated to supporting day-to-day medical consultations. 330-338 - Mourad Sarrouti, Asma Ben Abacha, Dina Demner-Fushman:
Multi-Task Transfer Learning with Data Augmentation for Recognizing Question Entailment in the Medical Domain. 339-346 - Janusz Wojtusiak, Ying Wang, Varalakshmi Vakkalagadda, Farrokh Alemi, Amira Roess:
Using Wi-Fi Infrastructure to Predict Contacts During Pandemics. 347-356 - Belmin Alic, Gongbo Chen, Burkhard Heidemann, Karsten Seidl:
Ultra-low Power Beacon-based Hand Hygiene Assistance System for Hospitals and Care Facilities. 357-361 - I'Sis Perry, Albert Park:
Exploring Suicidality on Social Media: Qualitative Analysis of Twitter. 362-371 - Akolade I. Asipade, Jakita Owensby Thomas, Yolanda A. Rankin:
Implementing Community-Based Participatory Design and Mixed Methods to capture and Analyze Mental Models of no/low Literate Users. 372-380 - Sayanton V. Dibbo, Yugyeong Kim, Sudip Vhaduri, Christian Poellabauer:
Visualizing College Students' Geo-Temporal Context-Varying Significant Phone Call Patterns. 381-385 - Jochen Meyer, Elke Beck, Kai von Holdt, Frauke Koppelin, Alexander Pauls, Susanne Boll:
ActiThings: Reminders for physical activity exercises in daily lives of inactive older adults. 386-395 - Daniel Diethei, Ashley Colley, Lisa Dannenberg, Muhammad Fawad Jawaid Malik, Johannes Schöning:
The Usability and Trustworthiness of Medical Eye Images. 396-405 - Rubina Lakhani, Liam Peyton, Craig E. Kuziemsky:
Towards an Artifact-Supported Performance Management Framework for Collaborative Care Delivery. 406-414 - Katie Wilkinson, Kangwon Seo, Robert Pierce, Peter J. Tonellato, Jung Hyup Kim, Danny Myers:
Electronic Medical Record Specialty Group Comparison by Multinomial Logistic Regression. 415-421 - Muhammad Aurangzeb Ahmad, Eduardo Trujillo-Rivera, Pollack M. D. Murray, Eckert M. D. Carly, Patel M. D. Anita, Ankur Teredesai:
Machine Learning Approaches for Patient State Prediction in Pediatric ICUs. 422-426 - Muhammad Aurangzeb Ahmad, Barrett Larson, Steve Overman, Vikas Kumar, Jing Xie, Alan Rossington, Ankur Patel, Ankur Teredesai:
Machine Learning Approaches for Pressure Injury Prediction. 427-431 - Daniel Ray:
Towards Wrist-worn Photoplethysmography Sensing for Medical Applications. 432-433 - Arshad Farhad, Sandra I. Woolley, Peter Andras:
Federated learning for AI to improve patient care using wearable and IoMT sensors. 434 - Songzi Liu, Jingzhi Yu, Yuyang Yang:
Predicting Avoidable Emergency Department Visits Using the NHAMCS Dataset. 435-436 - Evilásio Costa Junior, Rossana Maria de Castro Andrade, Leonardo Sampaio Rocha:
Development Process for Self-adaptive Applications of the Internet of Health Things based on Movement Patterns. 437-438 - Shabana Kapadia, Avi Parush, Sonya Kung, Edoye Porbeni:
Hospital at Home Program: Barriers to Adoption. 439-440 - Alan Davies, Julia Mueller, Alan Hassey, Georgina Moulton:
Designing a core competency framework for U.K. clinical informaticians. 441-442 - Antonia Tsvetanova, Matthew Sperrin, Niels Peek, Iain E. Buchan, Stephanie L. Hyland, Glen P. Martin:
Inconsistencies in handling missing data across stages of prediction modelling: a review of methods used. 443-444 - Pierangelo Veltri, Patrizia Vizza, Mariagiulia Cristofaro, Elvis Kallaverja:
Clinical data annotation for parotid neoplasia management. 445-446 - Zheng Li, Mykola Hubchak, Yingying Zhu:
Deep Leakage from Gradients in Multiple-label Medical Image Classification. 447-448 - Nicolas J. Lehmann, Muhammed-Ugur Karagülle, Felix Spielmann, Bianca George, Benjamin Zick, Joel Heuer, Eike Taegener, Abd Alah Fahed, Agnès Voisard, Joachim W. Fluhr:
mHealthAtlas - An expert-based multi-sided platform for the evaluation of mHealth applications. 449-450 - Luke Trinity, Lance Lansing, Hosna Jabbari, Ulrike Stege:
SARS-CoV-2 Ribosomal Frameshifting Pseudoknot: Detection of Inter-viral Structural Similarity. 451-460 - Michal Monselise, Christopher C. Yang:
Information Exchange in Online Health Communities Discussing COVID-19. 461-469 - Tara Newman, Hiu Fung Kevin Chang, Hosna Jabbari:
In silico prediction of COVID-19 test efficiency with DinoKnot. 470-479 - Carlo Combi, Giuseppe Pozzi:
Health Informatics: Clinical Information Systems and Artificial Intelligence to Support Medicine in the CoViD-19 Pandemic. 480-488 - Kunli Zhang, Bin Hu, Xu Zhao, Yu Song, Lei Zhuang, Hongying Zan:
A HIE-BERT Model for Diagnosis Assistant Based on Chinese Obstetric EMRs. 489-490 - Samuel Miles, Lixia Yao, Weilin Meng, Christopher M. Black, Zina Ben Miled:
Topic Extraction from A Cancer Health Forum. 491-492 - Minghao Li, Kyeryoung Lee, Zongzhi Liu, Meng Ma, Qi Pan, Rong Chen, Eric E. Schadt, Xiaoyan Wang:
Applying Bayesian hyperparameter optimization towards accurate and efficient topic modeling in clinical notes. 493-494 - Simon Suster, Karin Verspoor, Timothy Baldwin, Jey Han Lau, Antonio Jimeno-Yepes, David Martinez Iraola, Yulia Otmakhova:
Impact of detecting clinical trial elements in exploration of COVID-19 literature. 495-496 - Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng:
An empirical study of using radiology reports and images to improve ICU-mortality prediction. 497-498 - Zehao Yu, Xi Yang, Gianna L. Sweeting, Yinghan Ma, Skylar E. Stolte, Ruogu Fang, Yonghui Wu:
Identify Diabetic Retinopathy-related Clinical Concepts Using Transformer-based Natural Language Processing Methods. 499-500 - Hong Guan, Jianfu Li, Hua Xu, Murthy V. Devarakonda:
Robustly Pre-Trained Neural Model for Direct Temporal Relation Extraction. 501-502 - Tianyi Xie, Yi Zhen, Tianqi Li, Chuqin Li, Yaorong Ge:
Self-supervised extractive text summarization for biomedical literatures. 503-504 - Xiong Liu, Greg L. Hersch, Iya Khalil, Murthy V. Devarakonda:
Clinical Trial Information Extraction with BERT. 505-506 - Dae-Yeon Won, YoungJun Lee, Ho-Jin Choi, Yuchae Jung:
Contrastive Representations Pre-Training for Enhanced Discharge Summary BERT. 507-508 - Ploypaphat Saltz, Shih Yin Lin, Sunny Chieh Cheng, Dong Si:
Dementia Detection using Transformer-Based Deep Learning and Natural Language Processing Models. 509-510 - Jianfu Li, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor S. Lobanov, Chunhua Weng, Hua Xu:
Study of Pre-trained Language Models for Named Entity Recognition in Clinical Trial Eligibility Criteria from Multiple Corpora. 511-512 - Sicheng Zhou, Dalton Schutte, Aiwen Xing, Jiyang Chen, Julian Wolfson, Zhe He, Fang Yu, Rui Zhang:
Identification of Dietary Supplement Use from Electronic Health Records Using Transformer-based Language Models. 513-514 - Yedan Shen, Xiaowei Huang, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Yuan Ni:
A Deep Transfer Learning Method for Medical Question Matching. 515-516 - Xiaowei Xu, Lu Qin, Zixiao Li, Jiao Li:
Developing an Interpretable Etiology Classification Model for Ischemic Stroke Based on Chinese Clinical Practice Guideline. 517-518 - Alice Feng:
Accurate COVID-19 Health Outcome Prediction and Risk Factors Identification through an Innovative Machine Learning Framework Using Longitudinal Electronic Health Records. 519-526 - Pedro A. Moreno-Sánchez:
An automated feature selection and classification pipeline to improve explainability of clinical prediction models. 527-534 - Arnav Bhakta, Carolyn Byrne:
Creutzfeldt-Jakob Disease Prediction Using Machine Learning Techniques. 535-542 - Jay Dulera, Rohan Ghosalkar, Arnav Bagchi, Khushi Makhijani, Nupur Giri:
Forecasting Trends of Tuberculosis in India using Artificial Intelligence and Machine Learning. 543-547 - Émilien Arnaud, Mahmoud Elbattah, Maxime Gignon, Gilles Dequen:
NLP-Based Prediction of Medical Specialties at Hospital Admission Using Triage Notes. 548-553 - Muhammad Aurangzeb Ahmad, Carly Eckert, Christine Allen, Vikas Kumar, Juhua Hu, Ankur Teredesai:
Fairness in Healthcare AI. 554-555 - Guglielmo Cerri, Manuel Tognon, André Altmann, Rosalba Giugno:
Mining genetic, transcriptomic and imaging data in Parkinson's disease. 556-557
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