Publications by authors named "C B Michelsen"

Background: There is increasing evidence that gender-specific hemoglobin thresholds may not be ideal in the surgical population. Thus, preoperative anemia defined as a hemoglobin of <13.0 g/dL is a well-established risk factor in elective surgery.

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Article Synopsis
  • This study explores the effectiveness of a machine-learning model in predicting postoperative morbidity and length of stay (LOS) for patients undergoing fast-track total hip (THA) and knee (TKA) arthroplasties in Denmark.
  • Data was collected from 2014-2017, with a focus on preoperative comorbidities and medications, using machine-learning techniques and traditional logistic regression for prediction analysis.
  • Results showed that the machine-learning model slightly outperformed the logistic regression model in precision and predictive capability, highlighting the potential for improved postoperative care.
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Late Pliocene and Early Pleistocene epochs 3.6 to 0.8 million years ago had climates resembling those forecasted under future warming.

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The modelling of pandemics has become a critical aspect in modern society. Even though artificial intelligence can help the forecast, the implementation of ordinary differential equations which estimate the time development in the number of susceptible, (exposed), infected and recovered (SIR/SEIR) individuals is still important in order to understand the stage of the pandemic. These models are based on simplified assumptions which constitute approximations, but to what extent this are erroneous is not understood since many factors can affect the development.

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