AI Health Data Lab
@ Yonsei University (MIRAE)
AI Health Data Lab
@ Yonsei University (MIRAE)
The AI Health DATA Lab(ADHL) conducts research using AI algorithms to analyze healthcare data. Our research encompasses a wide range of data types, including electronic medical records (EMRs), personal health records (PHRs), structured data, and unstructured data.
AI Health Data Lab(AHDL) KEY research areas include AI Clinical Decision Support Systems (AI CDSS), AI Electronic Medical Records (AI EMR), digital health, big data, and global health.
AI Health Data Lab(AHDL) leveraging global networks to advance AI-driven healthcare data research.
ADHL place particular emphasis on AI-driven healthcare data research in developing countries, especially in Africa.
ADHLcurrently collaborate with universities in the United States, China, Japan, the United Kingdom, Singapore, and Taiwan. Our international research partnerships focused on AI-based healthcare data in developing countries include Ethiopia, Nepal, Mongolia, Rwanda, Paraguay, Uganda, Indonesia, Tanzania, and the Democratic Republic of the Congo.
In particular, we focus on utilizing AI technologies to analyze healthcare data in developing countries, contributing to evidence-based policy development.
Recent News
2025. 11. 01 - 07
2025. 06. 23 - 24
2025. 06. 02.
2025. 04. 01.
2025. 04. 01.
APHA (American Health Public Health Association) 2025 Annual Meeting & Expo
대한보건의료정보학회 춘계학술대회 12명 참석
[논문발표] JMIR Medical Informatics(SCI IF: 3.1) Experience of Cardiovascular and Cerebrovascular Disease Surgery Patients: Sentiment Analysis Using the Korean Bidirectional Encoder Representations from Transformers (KoBERT) Mode
1 Researcher and 1 Assistant Researcher have joined the AHDL.
Launch a "AI Health Data Lab (AHDL)"