Publications by authors named "A F Simonetti"

Aim: Vaccines have been shown to have the highest efficacy in preventing infectious diseases through their ability to induce immunological memory against pathogens. An adverse reaction to a vaccine is an unexpected medical occurrence following immunization. Complex regional pain syndrome (CRPS) is a disease that has undergone much controversy regarding its onset post-vaccination.

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This study aims to develop a Machine Learning model to assess the risks faced by COVID-19 patients in a hospital setting, focusing specifically on predicting the complications leading to Intensive Care Unit (ICU) admission or mortality, which are minority classes compared to the majority class of discharged patients. We operate within a multiclass framework comprising three distinct classes, and address the challenge of dataset imbalance, a common source of model bias. To effectively manage this, we introduce the Multi-Thresholding meta-algorithm (MTh), an innovative output-level methodology that extends traditional thresholding from binary to multiclass classification.

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Article Synopsis
  • The study focused on hospitalized patients aged 80 and older with COVID-19 to describe their clinical symptoms and identify predictors for death and complications during different waves of the epidemic.
  • A total of 1,192 patients were analyzed, revealing common symptoms like fever, cough, and dyspnea, along with serious complications such as acute respiratory distress syndrome and a high overall mortality rate of 41.4%.
  • Key risk factors for complications and death included age, existing health conditions (like diabetes and heart failure), specific lab findings, while better functional status (measured by the Barthel index) and the presence of cough offered some protective benefits.
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