Publications by authors named "Chen Hajaj"

Background: The global mortality and morbidity rates of bronchiectasis patients due to nontuberculous mycobacteria (NTM) pulmonary infection are on a concerning upward trend. The aims of this study to identify the phenotype of NTM-positive individuals with bronchiectasis.

Methods: A retrospective single-center observational study was conducted in adult patients with bronchiectasis who underwent bronchoscopy in 2007-2020.

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Article Synopsis
  • The study examines the relationship between gastrointestinal intolerance during early enteral nutrition (EN) and negative clinical outcomes in critically ill patients.
  • A retrospective analysis of 1584 ICU patients revealed that specific markers, particularly gastric residual volume above 250 mL, are significant predictors of early EN failure and mortality rates within 90 days.
  • The use of machine learning algorithms showed promising prediction performance but suggests the need for additional studies to validate these findings.
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COVID-19 has long become a worldwide pandemic. It is responsible for the death of over two million people and posed an economic recession. This paper studies the spread pattern of COVID-19, aiming to establish a prediction model for this event.

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Crowdsourcing services like Amazon Mechanical Turk allow researchers to ask questions to crowds of workers and quickly receive high quality labeled responses. However, crowds drawn from the general public are not suitable for labeling sensitive and complex data sets, such as medical records, due to various concerns. Major challenges in building and deploying a crowdsourcing system for medical data include, but are not limited to: managing access rights to sensitive data and ensuring data privacy controls are enforced; identifying workers with the necessary expertise to analyze complex information; and efficiently retrieving relevant information in massive data sets.

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