Objective

• 소셜네트워크 기반 헬스케어 집단지성화 핵심 및 활용 기술 개발

Responsibility

• 2011: 소셜네트워크 기반 헬스케어 집단지성화 핵심 및 활용 기술 개발 (Development of Key and Applied Techniques for Healthcare Collective Intelligence Based on Social Networks)
• 2010: 모바일 스마트폰 환경에서 개인화된 의료정보과 상황인지 헬스케어 서비스를 지원하는 지식공학 모델과 미래 인터넷 연구 (A Study of Knowledge Engineering Model and Future Internet to Support Personalized Medical Information and Context-Aware Healthcare Service in Mobile Smartphone Environment)

Funding Source

• Science & Technology Fundamental Frontier Research / KAIST-ICC

Role

• A research director

Duration

• 2010-01-01 ~ 2010-12-31, 2011-06-01 ~ 2012-12-31 (2.5 years)

Key Areas in Computer Science

• Social networks, knowledge engineering, data mining, networked medicine

Description

• This project aims to investigate the pioneering research area of networked medicine from the standpoint of healthcare social networks. The envisaged topics of research include (1) defining knowledge structure for discovering and collecting healthcare knowledge and experience from various sources such as the Web, Wikipedia, and clinical data, (2) extracting personalized information from life-logging sensors, smartphones, and social network services, and (3) building an infrastructure for developing healthcare social networks specialized to particular target diseases of public concerns such as diabetes or obesity.

Recent Topics of Interests

• Collective intelligence, u-healthcare, intelligent agent, graph mining