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Showing 1 to 3 of 3 for “"Machine learning in healthcare"”.

  1. Managing the Scarcity of Monitoring Data through Machine Learning in Healthcare Domain

    In the field of Ubiquitous Computing, a significant problem of building accurate machine learning models is the effort and time consuming process to gather labeled data for the learning algorithm. Moreover, efficient data use demands are constantly growing. These demands for efficient data use are …

    trento Repository record for Managing the Scarcity of Monitoring Data through Machine Learning in Healthcare Domain (opens in a new tab)

  2. Methodologies for Systematic Evaluation and Targeted Mitigation of Deficiencies in Critical Machine Learning Models

    Despite the growing use of machine learning in healthcare, critical challenges remain unaddressed, models often fail to respond appropriately to life-threatening conditions, exhibit poor generalizability in real-world clinical settings, and show unequal performance across patient subgroups. These …

    vt Repository record for Methodologies for Systematic Evaluation and Targeted Mitigation of Deficiencies in Critical Machine Learning Models (opens in a new tab)

  3. Generative digital twins for longitudinal simulation and augmentation of multi-modal patient data

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms

    uiuc Repository record for Generative digital twins for longitudinal simulation and augmentation of multi-modal patient data (opens in a new tab)