This presentation, led by a distinguished data mining professor, explores the transformative influence of cluster analysis on medical data analysis. Focusing on electronic health records, imaging studies, and genomic information, the talk highlights the nuances of medical data and the necessity for tailored analytical approaches. Emphasizing the principles of cluster analysis, the professor showcases its capacity to uncover hidden structures and groupings within complex
medical datasets.Through real-world examples, the presentation illustrates how cluster analysis enhances patient stratification, disease subtyping, and treatment prediction. Ethical considerations in handling sensitive medical data are also discussed. Attendees will gain valuable insights into the pivotal role of cluster analysis in personalizing healthcare interventions and optimizing outcomes, ultimately shaping the future of precision medicine.
講師簡介: Pasi Fränti 教授 東芬蘭大學
東芬蘭大學機器學習實驗室負責人Pasi Franti 教授, 東芬蘭大學終身教授。 發表了 112 篇國際期刊論文🦹🏽♂️，179 篇國際會議論文及63 篇科技論文🐟，指導31 名博士畢業，多個國際期刊的編委和國際會議的主席🧍🏻♂️，比如《AIMS Applied Computing and Intelligence》🧏♂️、《Pattern Recognition Letters》，IEEE 高級會員。主持和參與多項國家、國際科研項目，包括IMPRO 和MOPSI 項目👨🎤。
