Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Coronavirus - COVID-19 is the subject of a report. According to news reporting originating from Zhejia ng, People’s Republic of China, by NewsRx correspondents, research stated, “This cross-sectional study investigates the factors that contribute to academic resi lience among nursing students during COVID-19 pandemic. A cross-sectional study. ” Our news editors obtained a quote from the research from Taizhou Central Hospita l (Taizhou University Hospital), “A survey was conducted in a general hospital b etween November and December 2022. The Nursing Student Academic Resilience Inven tory (NSARI) model was used to assess the academic resilience of 96 nursing stud ents. The Boruta method was then used to identify the core factors influencing o verall academic resilience, and rough set analysis was used to analyse the behav ioural patterns associated with these factors. Attributes were categorised into three importance levels. Three statistically significant attributes were identif ied (‘I earn my patient’s trust by making suitable communication,’ ‘I receive su pport from my instructors,’ and ‘I try to endure academic hardship’) based on co mparison with shadow attributes. The rough set analysis showed nine main behavio ural patterns. Random forest, support vector machines, and backpropagation artif icial neural networks were used to test the performance of the model, with accur acies ranging from 73.0% to 76.9%.”
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