Titlebook: Artificial Intelligence in Medicine; 19th International C Allan Tucker,Pedro Henriques Abreu,David Ria?o Conference proceedings 2021 The Ed

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Catching Patient’s Attention at the Right Time to Help Them Undergo Behavioural Change: Stress Classalth behavioral change interventions and supporting patients compliance. Focusing on managing stress via deep breathing intervention, we hypothesise that the patients are more likely to perform suggested breathing exercises when they need calming down. To prompt them at the right time, we developed

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ICU Days-to-Discharge Analysis with Machine Learning Technologynts is essential to that management. Previous studies showed a low predictive capability of internists and ML-generated models. Therefore, more elaborated combinations of ML technologies are required. Here, we present four approaches to the analysis of the DTDs of ICU patients from different perspec

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Semantic Web Framework to Computerize Staged Reflex Testing Protocols to Mitigate Underutilization o) to render a timely diagnosis—often delaying appropriate treatment for years. In contemporary clinical laboratories, laboratory interventions can appropriately add-on extra tests to help confirm or rule out complex disorders. For these protocols to be clinically valid and economically efficient, th

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