Accepted Papers

The workshop received 68 submissions in total (the record high). The manuscripts directly submitted to the workshop were reviewed by 3.2 reviewers on average (min: 1; max: 6; median: 2, SD: 1.76). The PC members and the Chair selected 28 full papers and 25 short papers from them. The acceptance rate for full papers is 41.2%.

Selected papers were published in BMC Medical Informatics and Decision Making (Visit 2018 Special Issue on the journal).

• S02201, Shuning He, Haiwei Pan, Shengnan Zhao, Chunling Chen, and Xiaofei Bian, A Crowdsourcing-based Medical Image Classification Method

• S02202, Sadiq Alinsaif and Dr. Jochen Lang, Shearlet-Based Techniques for Histological Image Classification

• S02203, Wenjun Tan, Pan Liu, Hui Guo, Jinzhu Yang, Xiaoxia Yin, and Yanchun Zhang, A Review of Intelligent Image Processing Method of Pulmonary CT Images

• S02204, Wenjun Tan, Yao Liu, Huangying Liu, Jinzhu Yang, Xiaoxia Yin, and Yanchun Zhang, A Segmentation Method of Lung Parenchyma From Chest CT Images Based on Dual U-Net

• S02205, Hamidreza Khodajou-Chokami and Dmitry V. Dylov, Data Fusion Approach for Constructing Unsupervised Augmented Voxel-Based Statistical Anthropomorphic Phantoms

• S02206, Ying Sheng, Shaofu Lin, Jiangfan Gao, Xiaobo He, and Jianhui Chen, Research Sharing-Oriented Functional Neuroimaging Named Entity Recognition

• S02208, Mohan Vamsi Kasukurthi, Dihua Zhang, Mika Housevera, Yulong Huang, Dongqi Li, Jingwei Lin, Shaobo Tan, Bin Ma, Ryan Benton, Shengyu Li, Glen M. Borchert, and Jingshan Huang, SURFr: Algorithm for identification and analysis of ncRNA-derived RNAs

• S02209, Jian Li, Zelin Zhang, Shengyu Li, Ryan Benton, Yulong Huang, Mohan Vamsi Kasukurthi, Dongqi Li, Jingwei Lin, Glen M. Borchert, Shaobo Tan, Bin Ma, Meihong Yang, and Jingshan Huang, Reversible Data Hiding Based Key Region Protection Method in Medical Images

• S02210, Jonathan Mitchel, Kevin Chatlin, Li Tong, and May Wang, A Translational Pipeline for Overall Survival Prediction of Breast Cancer Patients by Decision-Level Integration of Multi-Omics Data

• S02211, Bin Ma, Zhaolong Wu, Shengyu Li, Ryan Benton, Dongqi Li, Yulong Huang, Mohan Vamsi Kasukurthi, Jingwei Lin, Glen M. Borchert, Shaobo Tan, Meihong Yang, and Jingshan Huang, A SVM-Based Algorithm to Diagnose Sleep Apnea

• S02212, Le Wang and Ze Luo, Contextualized Relevance Feedback for Precision Medicine

• S02213, Eva Lee, Karan Uppal, and Siawpeng Er, SEACOIN2.0:an interactive mining and visualization tool for information retrieval, summarization and knowledge discovery

• S02215, Ivan Rodin, Irina Fedulova, Artem Shelmanov, and Dmitry V. Dylov, Multitask and Multimodal Neural Network Model for Interpretable Analysis of X-ray Images

• S02217, Juan Antonio Lossio-Ventura, Juandiego Morzan, Hugo Alatrista-Salas, Tina Hernandez-Boussard, and Jiang Bian, Clustering and topic modeling over tweets: A comparison over a health dataset

• S02219, Juan Antonio Lossio-Ventura, Sebastien Boussard, Juandiego Morzan, and Tina Boussard-Hernandez, Clinical named-entity recognition: A short comparison

• N206, riyi qiu, vasu kodali, mark homer, andrew heath, zhaoqi wu, and yugang jia, Predictive Modeling of Depression with a Large Claim Dataset

• B223, Jose Alberto Souza Paulino, Alanne Vandreia da Silva Alves, Robson Pequeno de Sousa, Katia Elizabete Galdino, Pollianna Muniz Alves, and Eduardo Jorge Valadares Oliveira, The use of hybrid classifier to assist in the diagnosis of lip lesions in thermal images: a preliminary study

• B234, Saman Zeeshan and Zeeshan Ahmed, PAS-MUT with Somatic Mutations in Cancer and Classified Diseases for Clinical-Genomics Research

• B239, Haifeng Xu, Jianfei Pang, Xi Yang, Jinghui Yu, and Dongsheng Zhao, A modeling approach based on multi-perspective declarative process mining for clinical activity

• B245, Xuemeng Li, Jinghui Yu, Jiangyu Li, Mei Li, and Dongsheng Zhao, Simulating the Risk of Stroke in China Using Markov Model Based on National Screening Data

• B260, Chulan Chen, Peihui Wu, Linli Zheng, Yuanping Liu, Xiaoyan Zhang, and Yukai Song, A Modular Software System for 3D Measurement of Acetabulum in Arthritic Dysplasia Hips

• B276, Guang Zheng, Mechanisms of Atractylodis Macrocephalae Rhizoma against Chronic Gastritis

• B297, JiWoong Kim, Ah Ra Lee, Min Gyu Kim, Il Kon Kim, and Eunjoo Lee, Patient-centric medication history recording system using blockchain

• B314, Ekin YAGIS, Alba G. SECO DE HERRERA, and Luca CITI, Generalization Performance of Deep Learning Models in Neurodegenerative Disease Classification

• B318, Jiaqi Li, Haiming Lu, Xiang Fang, Sijie Chen, and Xuegong Zhang, Pixel-Level Clustering Reveals Intra-Tumor Heterogeneity in Non-Small Cell Lung Cancer

• B326, Sam Mansfield, Sachin Rangarajan, Katia Obraczka, Hanmin Lee, David Young, and Shuvo Roy, Objective Pressure Injury Risk Assessment Using A Wearable Pressure Sensor

• B330, Jianfei Pang, Haifeng Xu, Shan Nan, Shubo Xu, Mei Li, and Dongsheng Zhao, A Mobile Intelligent Checklist System for Stroke Emergency

• B393, Liang Zhao, Zhiyuan Ma, Yangming Zhou, Kai Wang, Shengping Liu, Ju Gao, and Wen Du, CBOWRA: A Representation Learning Approach for Medication Anomaly Detection

• B396, Jieying Hu, Ming Huang, Naoaki Ono, Ye Chen-Izu, Leighton Izu, and Shigehiko Kanaya, Cardiotoxicity Prediction Based on Integreted hERG Database with Molecular Convolution Model

• B407, Jiahui Qiu, Yangming Zhou, Zhiyuan Ma, Tong Ruan, Jinling Liu, and Jing Sun, Question Answering based Clinical Text Structuring Using Pre-trained Language Model

• B454, Attawit Chaiyaroj, Panyawut Sri-iesaranusorn, Chatchai Buekban, Songphon Dumnin, Chusak Thanawattano, and Decho Surangsrirat, Deep Neural Network Approach for Hand, Wrist, Grasping and Functional Movements Classification using Low-cost sEMG Sensors

• B457, ZhiQi Fan, Bin Wu, JunLe Qu, Min Pan, SiMin Liang, BinMu Xin, YongZhen Li, YanWu Chen, and GuoDong Yan, Research progress of electroacupuncture against orthostatic intolerance of post- spaceflight

• B460, Daowen Liu, Zhiyuan Ma, Yangming Zhou, Jie Zhai, Tingting Cai, Kui Xue, and Ping He, Intelligent Hospital Guidance System based on Multi-Round Conversation

• B463, Mahsa Rouzbahman, Lu Wang, Mark Chignell, Leon Zucherman, Nipon Charoenkitkarn, and Lisa Barbera, Predicting Emergency Department Visits Based on Cancer Patient Types

• B474, Guanyi Yang, Xiuyu Leng, Fangwan Huang, Mohan Vamsi Kasukurthi, Yulong Huang, Dongqi Li, Jingwei Lin, Shaobo Tan, Guiying Lu, Ryan Benton, Glen M. Borchert, Bin Ma, and Jingshan Huang, Use CPET data to predict the intervention effect of aerobic exercise on young hypertensive patients

• B481, Pericles S. Giannaris, MS, Zainab Al-Taie, MS, Mikhail L. Kovalenko, MS, Richard D. Hammer, MD, Mihail Popescu, PhD, and Dmitriy Shin, Informatics Framework to Identify Consistent Diagnostic Techniques

• B489, Sirui Ding, Zhiyong Yuan, Panfeng An, Guotong Xue, Wenxiang Sun, and Jianhui Zhao, Cascaded Convolutional Neural Network with Attention Mechanism for Mobile EEG-based Driver Drowsiness Detection System

• B514, Matthew Velazquez, Rajaram Anantharaman, Salma Velazquez, and Yugyung Lee, RNN-Based Alzheimer's Disease Prediction from Prodromal Stage using Diffusion Tensor Imaging

• B520, liangming cai, shuai dong, Rituparna Datta, Danhong Zhu, Min Du, Jingshan Huang, Chunxiao Li, jie hu, and Haiyan Jiang, Sleep Disorder Data Stream Classification Based on Classifiers Ensemble and Active Learning

• B545, Keling Fei, Kezhen Fei, Dehui Xiang, ShuSeng Tang, Wei Wang, and Xu Wang, Automatic Detection of Conversion Blindness on Functional Brain Network Information

• B589, Guoting Luo, Zhiqin Liu, Qingfeng Wang, Qiyu Liu, Ying Zhou, Weiyun Xu, Jun Huang, Jie Fu, and Jie-Zhi Cheng, Fully Convolutional Multi-Scale ScSE-DenseNet for Automatic Pneumothorax Segmentation in Chest Radiographs

• B590, Mahsa Rouzbahman, Lu Wang, Mark Chignell, Leon Zucherman, Nipon Charoenkitkarn, and Lisa Barbera, Tuning a Cancer Patient Typology Based on Emergency Department Visits

• B596, Kazuhiro Seki, Michael Ortiz, and Javed Mostafa, Effectiveness and Efficiency for Document Clustering in Biomedicine

• B603, Pete Yeh, Yiheng Pan, L. Nelson Sanchez-Pinto, and Yuan Luo, Using Machine Learning to Predict Hyperchloremia in Critically Ill Patients

• B609, Raxit Goswami, Vatsal Shah, Nehal Shah, and Chetan Moradiya, Ontological Approach for Knowledge Extraction From Clinical Documents

• B644, Devaun McFarland and Homayoun Valafar, Evaluating Precision and Recall through the Utility of msTALI via an Active-Site Study on Fold Families

• B647, Yogatheesan Varatharajah, Scott Przybelski, Christopher Schwarz, Krishnakant Saboo, Ronald Petersen, Clifford Jack, Prashanthi Vemuri, and Ravishankar Iyer, A Joint Model for Predicting Structural and Functional Brain Health in Elderly Individuals

• B662, Surya Sharma and Adam Hoover, A Study on Linear Acceleration of the Wrist During Free-living

• B700, Ying Xiong, Buzhou Tang, Qingcai Chen, Xiaolong Wang, and Jun Yan, A Study on Automatic Generation of Chinese Discharge Summary

• B724, Peng Cao, Zeyu Teng, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, and Osmar Zaiane, An ensemble framework with l21-norm regularized hypergraph laplacian multi-label learning for clinical data prediction

• B741, Ahmed Albishri, Syed Jawad Shah, and Yugyung Lee, CU-Net: Cascaded U-Net Model for Automated Liver and Lesion Segmentation and Summarization

• B745, Rongyi Sun, Rachneet Kaur, Liran Ziegelman, Shuo Yang, Richard Sowers, and Manuel E. Hernandez, Using Virtual Reality to Examine the Correlation between Balance Function and Anxiety in Stance

• B755, Raphael Ekpo, Ifeoma Osamor, Victor Osamor, Theresa Abiodun, Austin Omoremi, Mba Odim, and Oluwasegun Oladipo, Understanding E-health Application Utilizing Internet of Things (IoT) Technologies