PREDICTION OF FUTILE RECANALISATION AFTER ENDOVASCULAR TREATMENT IN ACUTE ISCHAEMIC STROKE: DEVELOPMENT AND VALIDATION OF A HYBRID MACHINE LEARNING MODEL

Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke: development and validation of a hybrid machine learning model

Background Identification of futile recanalisation following endovascular therapy (EVT) in patients with acute ischaemic stroke is both crucial and challenging.Here, we present a novel risk stratification system based on hybrid machine learning method for predicting futile recanalisation.Methods Hybrid machine learning models were developed to addr

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The Significance of Work Motivation: The Impact of Organizational Culture and Work Environment on Employee Performance

The objective of this study is to ascertain and examine the impact of Organizational Culture and Work Environment on Employee Performance, with Work Motivation serving as an intermediary factor.This study employs quantitative methodologies.The study sample included all individuals employed by the hospital.The study used a purposive sampling strateg

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Seagrass and Oyster Reef Restoration in Living Shorelines: Effects of Habitat Configuration on Invertebrate Community Assembly

Restoration projects provide a valuable opportunity to experimentally establish foundational habitats in different combinations to test relative effects on community assembly.We evaluated the development of macroinvertebrate communities in response to planting of eelgrass (Zostera marina) and construction of reefs intended to support the Olympia oy

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