MediComp 2019: The 6th IEEE International Workshop on Medical Computing

MediComp 2019 Program

MediComp 1: The 6th IEEE International Workshop on Medical Computing
Enhanced Predictive Mining
Monday July 15, 1:00 – 2:30
Location: Ballroom C
Session Chair: Hossain Shahriar, Kennesaw State University, USA

An Improved Semi-Supervised Learning Method on Cataract Fundus Image Classification
Wenai Song, Ying Cao, Zhiqiang Qiao, Qing Wang and Ji-Jiang Yang

A Novel Grading Method of Cataract Based on AWM
Changshuai Huo, Faheem Akhtar and Pengzhi Li

Bi-dimensional Representation of Patients for Diagnosis Prediction
Weijing Wang, Chenkai Guo, Jing Xu and Ao Liu

MediComp 2: The 6th IEEE International Workshop on Medical Computing
Data-driven Knowledge Discovery & Decision Making
Monday July 15, 3:00 – 4:15
Location: Ballroom C
Session Chair: Minhua Lu, Shenzhen University, China

Viscoelasticity Measurements of Knee Muscles with Simulated Knee Osteoarthritis Treated by Novel Chinese Medicine: A Preliminary Study
Siyuan Fang, Lixia Hu, Bin Du, Haoteng Zheng, Minhua Lu and Rui Mao

Towards Clinical Decision Support for Veteran Mental Health Crisis Events using Tree Algorithm
Md Fitrat Hossain, Olawunmi George, Nadiyah Johnson, Mark Flower, Lisa Rein, Jose Lizarraga Mazaba, Zeno Franco, Praveen Madiraju, Kantinka Hooyer and Sheikh Iqbal Ahamed

Semi-automatic Construction Method of Chronic Obstructive Pulmonary Disease Knowledge Graph
Xin-Hong Jia, Wen-Ai Song, Wei-Yan Li, Ji-Jiang Yang, Qing Wang, Ting Yang, Ke Huang and Jun Li

Observational Measures for Effective Profiling of Healthcare Staffs’ Security Practices
Prosper Yeng, Bian Yang and Einar Snekkenes

MediComp 3: The 6th IEEE International Workshop on Medical Computing
Enhanced Predicting Mining
Friday July 19, 8:00 – 9:30
Location: Ballroom B
Session Chair: Jing Xu, Nankai University, China

Multi-scale Network with the Deeper and Wider Residual Block for MRI Motion Artifact Correction
Weiliang Zhang, Qinyan Zhang, Ji-Jiang Yang and Qing Wang

Classification of Pulmonary Nodules by Using Improved Convolutional Neural Networks
Jing Gao, Huanqing Zhang and Ruifang Shen

Supervised and Unsupervised Analytics of Intensive Care Unit Data
Rehnuma Afrin, Hisham Haddad and Hossain Shahriar

MediComp 4: The 6th IEEE International Workshop on Medical Computing
Data-driven Knowledge Discovery & Decision Making
Friday July 19, 1;00 – 2:30
Location: Ballroom B
Session Chair: Praveen Madiraju, Marquette University, USA

Prediction and Study of Applicability of Medical Gels to Patients
Bo Liu, Mengmeng Huang, Kelu Yao, Lan Wei, Xiaolu Fei and Wang Qing

Drug Specification Named Entity Recognition Base on BiLSTM-CRF Model
Wei-Yan Li, Wen-Ai Song, Xin-Hong Jia, Ji-Jiang Yang, Qing Wang, Ting Yang, Ke Huang and Jun Li

AMCNet: Attention-based Multiscale Convolutional Network for DCM MRI Segmentation
Chao Luo, Canghong Shi, Xian Zhang, Jing Peng, Yucheng Chen and Xiaojie Li

MediComp 5: The 6th IEEE International Workshop on Medical Computing
Healthcare Supported Technologies & Applications
Friday July 19, 3:00 – 4:15
Location: Ballroom B
Session Chair: Ji-Jiang Yang, Tsinghua University, China

Non-Invasive Technologies for Smart Healthcare
Lori Kim, Hossain Shahriar and Chi Zhang

A Scalable Automated Diagnostic Feature Extraction System for EEGs
Abbie Popa, Prakhar Agrawal, Divya Bhargavi, Gokul Krishna G, Xiao Han, Neha Tevathia, Nicholas Ross, Diane Myung-Kyung Woodbridge, Barbie Zimmerman-Bier and William Bosl

Blockchain-Based Interoperable Electronic Health Record Sharing Framework
Gracie Carter, Hossain Shahriar and Sweta Sneha

Call for Papers

Health and Medical care industries is one of the largest and fastest-growing parts of a country’s economy. The proper collection, management and utilization of medical information play a critical role in detecting health and medical problems, identifying innovative solutions and allocating resources to treat patients, medical computing technologies are widely employed to improve the quality of healthcare services.

There are a number of significant computing technology developments and innovations that are making a big splash on the health and medical care information manipulation. Examples of currently emerging technologies include, 1) Health sensing: There’s been a sharp increase in the quantity and variety of consumer devices, especially mobile devices such as smart phones, and medical sensors that capture some aspect of physiological, cognitive and physical human health including vital signs, medical images, videos, activity data; 2) Big data analytics: With the increasing digitization of health and medical care, a large amount of health and medical data has been accumulated and the size is increasing in an unprecedented rate, discovering the deep knowledge and values from the big medical data is the key to deliver the best evidence-based, patient-centric, and accountable care; 3) Cloud computing: With medical care providers looking at automating processes at lower cost and higher gains, cloud computing provides an ideal platform to achieve high efficient use of computing resources, simplify management, and improve services in a safe and secure manner；4) Artificial intelligent: AI can help people precisely predict or diagnose disease, and provide suitable intervention methods or treatments.

There is no doubt that the adoption of these innovative technologies in health and medical fields creates huge opportunities. Yet lots of challenges still need to be resolved for achieving enhanced  health and medical care services.

The aim of the workshop is to investigate how these emerging computing technologies are exploited for creating new ways for health & medical service providers and their patients to readily access and use health information and improving the quality, safety, and efficiency of medical care.

Scope of the Workshop

The workshop will bring together researchers and practitioners to share research results, advances and practical experience related to medical computing areas.

The workshop calls for original papers describing the theories, methodologies, and solutions about the innovative application of emerging computing technologies that deals with the collection, storage, retrieval, sharing, and use of medical data and knowledge, as well as the integration of heterogeneous medical services and devices for enhanced medical care services. Topics of interests include, but are not limited to:

• The integration of heterogeneous medical services
• Health sensing technologies and systems and their interoperation
• Health data storage, processing and manipulation
• Data mining/deep knowledge discovery from Health and Medical data
• Big data analysis on health and medical area
• Mobile health(mHealth) service/system and their interoperation
• Intelligent integration of multiple medical service/system
• Privacy and security and on healthcare
• Intelligent healthcare/decision support system
• Medical care resource management in smart medical environments
• Medical related image and video processing
• Cloud computing and process integration for medical care
• Pervasive and ubiquitous computing for medical care delivery
• Semantic/knowledge driven medical information management
• Interoperation of medical services and devices in smart environments
• Disease predication and diagnosis based on AI