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Presentation Information

Session Details

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Program Type

Mathematical methods and machine learning meet real-world data to stratify patients and predict disease onset and prognosis.

In recent years, data-driven approach has rapidly been introduced to biomedical research. Unlike laboratory data, real-world data, which is the target of data-driven research, is uncontrolled and full of noise and heterogeneity. In this symposium, we will focus on data science and machine learning, which are essential for exploring real-world data and conducting knowledge discovery, and introduce state-of-the-art analyses and technologies.

日本分子生物学会年会

The 44th Annual Meeting of the Molecular Biology Society of Japan

The 44th Annual Meeting of the Molecular Biology Society of Japan

[1AS-17-6]Mathematical methods and machine learning meet real-world data to stratify patients and predict disease onset and prognosis.

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