Real-world data: Health Informatics and Machine Learning
วันที่ 15 - 17 พฤษภาคม 2567
Stability of clinical prediction models developed usingstatistical or machine learning methods
Improving large language models for clinical named entity recognition via prompt engineering
Toward structuring real-world data: Deep learning for extracting oncology information from clinical te...
“Via this Ph.D. program, I was able to see many possibilities in clinical research”
Amarit Tansawet Ph.D. in Clinical Epidemiology (International Program)
“Thanks for all support and guidance along this 2-year journey”
Apisara Keesukphan M.Sc. in Medical Epidemiology (International Program)
“Through this program, I can learn how to conduct good research related to medical field and able to connect with many friends from various countries”
Maria Magdalena Pradita Eka Kurniawati M.Sc. in Data Science for Healthcare and Clinical Informatics (International Program)
“CEB's PhD in Clinical Epidemiology program equipped me with invaluable knowledge and real-world skills. I appreciate how the program emphasized rigorous quantitative training alongside clinical applications, preparing me to meaningfully contribute to improving public health from day one in my career. I am deeply grateful for the excellent education and experiences I received, which have truly shaped me into the epidemiologist and researcher I am today.”
Win Khaing Ph.D. in Clinical Epidemiology (International Program)
