Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"Healthcare Machine Learning"”.
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Explainable and Robust Data-Driven Machine Learning Methods for Digital Healthcare Monitoring
Digital healthcare monitoring uses multidisciplinary sensing techniques to track diverse human data and behaviors. Machine learning can promote an individual's well-being through more efficient and accurate health status monitoring. However, challenges hinder precise monitoring, such as privacy …
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Temporal analysis of emergency department frequent users using machine learning approaches
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms
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Multimodal AI Tools for Predicting Neurological and Neurodevelopmental Trajectories
L'abstract è presente nell'allegato / the abstract is in the attachment
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Causal Deep Learning with Applications in Healthcare
… problems stem from a new field: causal deep learning, which I introduce in chapter 2. Both categories are important in science, where this dissertation considers applications in healthcare in particular. In a clinical setting, both of these problems are typically addressed using a randomised …
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Machine Learning Methods for Decision Making Inference in Healthcare
Machine learning algorithms are widely regarded as disruptive innovations. They have demonstrated superior performance in many complex domains, such as computer visions, signal processing and natural language processing. One area, in particular, in which machine learning has potential widespread …
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Ensemble machine learning to predict family consent for organ donation
… the factors associated with family consent. Machine Learning approach had been used in very few literature to understand factors related to family consent. This study uses six Ensemble Machine Learning models to accurately predict family consent outcome (yes/no). All family approaches data …
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Mining Insights for Patterns in the Active Daily Life of Chronic Cancer and Cardiovascular Patients using Artificial Intelligence
… overall mental and physical health. Affordable healthcare facilities, however, have insufficient resources. This study focused on the environment where chronic cancer and cardiovascular (CVD) disease patients live, considered geography a significant construct in studying chronic patients, and …