Accepted Papers

The workshop received 58 submissions in total. The manuscripts directly submitted to the workshop were reviewed by 3.5 reviewers on average (min: 2; max: 6; median: 3, SD: 1.5). The PC members and the Chair selected 31 full papers and 16 short papers from them. The acceptance rate for full papers is 53.4%.

S12202 S	Ioannis Konstantoulas, Otilia Kocsis, Nikos Fakotakis, and Konstantinos Moustakas, An approach for continuous sleep quality monitoring integrated in the SmartWork system
S12205 F	Cristina Soguero-Ruiz, Natalia Alonso Arteaga, Sergio Muñoz-Romero, José Luis Rojo-Martínez, Manuel Rubio-Sánchez, Isabel Caballero López-Fajardo, and Inmaculada Mora-Jiménez, Finding Associations among Chronic Conditions by Bootstrap and Multiple Correspondence Analysis
S12207 S	Frederick Booth, Maurice Mulvenna, Raymond Bond, Kieran McGlade, and Debbie Rankin, Examining the Effect of Deprivation on Prescribing Behaviours in Northern Ireland
B482 S	Saša Ćuković, Radu Emanuil Petruse, Lea Buchweitz, and Gerrit Meixner, Supporting Diagnosis and Treatment of Scoliosis: Using Augmented Reality to Calculate 3D Spine Models in Real-Time - ARScoliosis
B648 S	Shelly Sachdeva, Disha Batra, and Shivani Batra, Storage Efficient Implementation of Standardized Electronic Health Records Data
S12208 F	Eva Lee and Jinha Lee, Competition Strategy for Healthcare Insurance Plans
B225 F	Maryam Tavakoli Hosseinabadi, Tianyi Xie, Jingyi Shi, Mirsad Hadzikadic, and Yaorong Ge, Predicting Neural Deterioration in Patients with Alzheimer's Disease Using a Convolutional Neural Network
B240 F	Nasibeh Zanjirani Farahani, Divaakar Siva Baala Sundaram, Moein Enayati, Shivaram Poigai Arunachalam, Kalyan Pasupathy, and Adelaide Arruda-Olson, Explanatory Analysis of a Machine Learning Model to Identify Hypertrophic Cardiomyopathy Patients from EHR Using Diagnostic Codes
B253 S	Ifeoma Anunoby, Vovanti Jones, Alexander Brown, and Carmen Cirstea, Cortical tonic GABAergic inhibition – preliminary insights from MR Spectroscopy of subacute stroke
B263 F	Somya Mohanty, Deborah Lekan, Thomas McCoy, Marjorie Jenkins, and Prashanti Manda, A multi-modal machine learning approach towards predicting patient readmission
S12201 S	Zhiwei LIANG, Pan ZHANG, Baoyan LIU, Nenggui XU, Lu TIAN, and Ying LU, A data capture model and its associate study on the public web published COVID-19 data
S12204 F	Wen-Yang Lin and Zhi-Xun Shen, Embracing Differential Privacy for Anonymizing Spontaneous ADE Reporting Data
B508 F	Jewel Mae Cadiz, Christine Joy Susana, Marla Endriga, and Enrique Jose Frio, Molecular Docking of Traditional Chinese Medicinal Compounds Against Dengue Virus NS3 Protease and NS3 Helicase
B544 F	Yang Wang, Yiping Lin, Guoli Ji, and Jinting Guan, Gene Screening for Autism Based on Cell-type-specific Predictive Models
B583 S	Zheng Chen, Naoaki Ono, MD Altaf-Ul-Amin, Shigehiko Kanaya, and Ming Huang, iVAE: An Improved Deep Learning Structure for EEG Signal Characterization and Reconstruction
B590 F	Shuai Wang and Junfei Liu, ClinicNet: Clinical Practice Oriented Medical Representation Learning for Electronic Medical Records

B539 F	Abolfazl Meyarian, Himan Namdari, Xiaohui Yuan, John Roeske, and Mark Albert, Phantom Tumor Tracking in Dual-Energy Fluoroscopy using a Kalman Filter
B552 S	Albert Park, Chuqin Li, Jessamyn Bowling, Yaorong Ge, and Michael Dulin, Diet, Weight loss, Fitness, and Health related Image Sharing using Twitter: an Observation Study
B566 F	Eva Lee and Karan Uppal, OptSelect: an R package for ensemble feature selection and stability assessment
B638 F	Shou-Jen Wang, Jeong-Ho Park, Hyung-Soon Park, Devak Nanda, and Mark V. Albert, Wearable spasticity estimation and validation using machine learning
B324 F	Alex Felmeister, Angela Waanders, Jennifer Mason, Jeff Stevens, L. Charles Bailey, Shiva Ganesan, and Ingo Helbig, A Framework for Analysis, Ontological Evaluation, and Visualization in Preparation to Predictive Analytics in Pediatric Brain Tumor Research
B405 F	Danielle Alves, Valeria Cesário Times, Amadeu Campos Filho, Fred Revoredo Rabelo Ferreir, Erika Maria Alves da Silva, and Magdala Araújo Novaes, Analysis an Electronic Health Record based on Hedonic and Pragmatic Aspect of the User Experience
B716 F	Yibin Wang, Christian Zamiela, Toms V. Thomas, William N. Duggar, P. Russell Roberts, Linkan Bian, and Haifeng Wang, 3D Texture Feature-Based Lymph Node Automated Detection in Head and Neck Cancer Analysis
B679 S	Marcela de Oliveira, Felipe Balistieri Santinelli, Marina Piacenti-Silva, Fernando Coronetti Gomes Rocha, Fabio Augusto Barbieri, Paulo Noronha Lisboa-Filho, Jorge Manuel Santos, and Jaime dos Santos Cardoso, Quantification of Brain Lesions in Multiple Sclerosis Patients using Segmentation by Convolutional Neural Networks
S12206 F	Delong Zhang, Mengqun Jin, and Peng Cao, ST-MetaDiagnosis: Meta learning with Spatial Transform for rare skin disease Diagnosis
B265 F	Hang-Jin Yang, Yu-Ying Zhao, Jin-Xing Liu, Yu-Xia Lei, and Jun-Liang Shang, Sparse Regularization Tensor Robust PCA Based on t-product and Its Application in Cancer Genomic Data
B267 F	Haifeng Xu, Jianfei Pang, Xi Yang, Liqun Ma, Huajian Mao, and Dongsheng Zhao, Applying clinical guidelines to conformance checking for diagnosis and treatment: a case study of ischemic stroke
B284 F	Po-Yu Liang, Tun-Wen Pai, and Lee-Jyi Wang, Prediction of patients with heart failure after myocardial infarction
B297 F	Shuting Sun, Huayu Chen, Xuexiao Shao, Liangliang Liu, Xiaowei Li, and Bin Hu, EEG Based Depression Recognition by Combining Functional Brain Network and Traditional Biomarkers
B312 F	Songchun Yang, Xiangwen Zheng, Fan Tong, Huajian Mao, and Dongsheng Zhao, A Novel Algorithm of Expansion Term Selection and Weight Assignment for Query Expansion of Chinese EMR Retrieval
B664 S	Azni Nasuha Ngisa and Huey Fang Ong, Identifying High-Risk Breast Cancer Patients Using Microarray and Clinical Data
B591 S	Shuai Wang and Junfei Liu, TAGNet: Temporal Aware Graph Convolution Network for Clinical Information Extraction

B684 F	Nahom Kidane, Mohammad Obeid, Rick McKenzie, Robert Kelly, and Robert Obermeyer, Statistical Chest Shape Modeling: Application to the Evaluation of Pectus Excavatum Treatment Outcomes
B685 S	Ana Almeida, Francisco Oliveira, Rui Lebre, and Carlos Costa, NoSQL distributed database for DICOM objects
B692 S	Maira Moran, Marcelo Faria, Gilson Giraldi, Luciana Bastos, Bruno Inacio, and Aura Conci, On using convolutional neural networks to classify periodontal bone destruction in periapical radiographs
B694 F	Nuerzati Resuli, Marjorie Skubic, and Scott Kovaleski, Learning Room Structure and Activity Patterns Using RF Sensing for In-Home Monitoring of Older Adults
B705 S	Mingjia Li, Nishita Prasad, Dwight Hall, and Huanmei Wu, Analysis of SARS-CoV-2 sequences reveals transmission path and emergence of SD 614G mutation
B717 S	Yikuan Li, Hanyin Wang, and Yuan Luo, A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports
B761 F	Ling Zheng and Joan Kapusnik-Uner, Can MED-RT Summarization Support Missing Adverse Drug Reactions Discovery?
B347 F	Xiaofang Sun, Bin Hu, Xiangwei Zheng, Cun Ji, and Yongqiang Yin, Emotion Classification Based on Brain Functional Connectivity Network
B375 F	Yue Fei, Xiaoqian Huang, Qinqun Chen, Jiamin Chen, Li Li, Jiaming Hong, Zhifeng Hao, and Hang Wei, Automatic Classification of Antepartum Cardiotocography Using Fuzzy Clustering and Adaptive Neuro-Fuzzy Inference System
B424 F	Lanting Li and Peng Cao, A robust fuzzy clustering algorithm using spatial information combined with local membership filtering for brain MR images
B444 F	Rui Cheng, Liming Yuan, Haixia Xu, Zhenliang Li, and Xianbin Wen, Learnable Bag Similarity Based Deep Multi-Instance Network for Breast Cancer Diagnosis
B447 F	Yu Yang, Haifeng Xu, Bin Qi, Xiaodong Niu, Mei Li, and Dongsheng Zhao, Stroke screening data modeling based on openEHR and NINDS Stroke CDE
B479 F	He Xiao, Qingfeng Wang, Zhiqin Liu, Jun Huang, Yuwei Zhou, Ying Zhou, and Weiyun Xu, CSABlock-based Cascade RCNN for Breast Mass Detection in Mammogram
B778 S	Junsol Kim, Academic journal recommendation for human neuroimaging studies via brain activation-based filtering
B608 F	Hang Chen, Leiting Chen, Yuchu Chen, Minghao Fan, and Chuan Zhou, SEAUNet: Domain Adaptation for Biomedical Image Segmentation