APAN48

Objectives :

The purpose of the tutorial is to provide audience with the insights into intelligent medical services in the medical domain using ICT technologies. The experience of constructing the platform and building the services on top of the platform will be shared. Example case studies will also be presented to obtain the real essence of the platform.

Session Chair :  Sunmoo Svenna Kang , Kyung Hee University
Wajahat Ali Khan , Kyung Hee University, South Korea
 Taqdir Ali , Kyung Hee University, South Korea

Agenda :

1. Silo Construction Methodology -  Wajahat Ali Khan , Kyung Hee University, South Korea

This study will demonstrate silo construction process for different clinical domains such as cardiovascular, diabetes, epilepsy, kidney, ear throat nose (ENT), thyroid cancer, and head and neck cancer. The steps involved in silo construction process are the same for all the domains, with the difference of only domain specific concepts, attributes and knowledge. The steps include knowledge and requirements elicitation, design, implementation, and recommendation generation process.

2.  Thyroid Cancer Silo  -  Taqdir Ali , Kyung Hee University, South Korea

This study presents Thyroid Cancer silo by utilizing mind map and iterative decision tree (IDT) approach. These are used for integration of clinical practice guidelines into the workflow of clinical decision support system (CDSS). The system is based on high-quality knowledge-based populated by experts using intelligent knowledge authoring tool.

3.  Head and Neck Cancer Silo - Taqdir Ali , Kyung Hee University, South Korea


The right and early diagnosis and treatment of life-threatening diseases may reduce the chances of post-procedure complications, associated illness, and death. Squamous cell carcinoma of the head & neck has about 600,000 diagnosed cases worldwide annually. Generally, patients have locoregionally advanced disease, while more than 50% have a recurrence of disease within the next 3 years. Persons with carcinoma of the head and neck, have cancer progression within 6 months after treatment administered either as primary or recurrent disease. In the era of ubiquitous computing, Clinical Decision Support Systems are very much helpful to support medical staff for diagnosis, treatment and follow up based on the experiences of the experts. The Silo-based development methodology is adapted to acquire knowledge from the expert in a systematic way and present in a formal way for verification and validation. After that, the acquired knowledge is converted into the executable rule through intelligent knowledge authoring for the support of diagnosis and treatment.

Other related sessions:  

Tuesday July 23rd, 3:30pm-5:00pm @ Auditorium Rashdan Baba
Workshop for Intelligent Medical Services - Health applications for Patient Empowerment