Publications by authors named "X Borrat"

We present the INSPIRE dataset, a publicly available research dataset in perioperative medicine, which includes approximately 130,000 surgical operations at an academic institution in South Korea over a ten-year period between 2011 and 2020. This comprehensive dataset includes patient characteristics such as age, sex, American Society of Anesthesiologists physical status classification, diagnosis, surgical procedure code, department, and type of anaesthesia. The dataset also includes vital signs in the operating theatre, general wards, and intensive care units (ICUs), laboratory results from six months before admission to six months after discharge, and medication during hospitalisation.

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  • The study investigates the timing of invasive ventilation in patients with hypoxemic respiratory failure, aiming to determine if starting ventilation immediately affects one-year mortality compared to delaying intubation.
  • Using data from the MIMIC-IV database, the researchers focused on non-intubated patients with specific oxygenation criteria, comparing outcomes between those who were intubated and those who were not.
  • Results indicated that early intubation significantly reduced the risk of death within one year (HR 0.81) and also benefitted 30-day survival rates (HR 0.80), suggesting that timely mechanical ventilation can improve patient outcomes.
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  • Researchers improved a model called Deep Embedded Clustering (DEC) to better handle different types of data, like numbers and categories.
  • They created a new version called X-DEC by using a special tool (an X-shaped variational autoencoder) to make it work better.
  • After testing both models on patients in intensive care, they found that while both created clear groups, X-DEC gave more consistent results.
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  • Sharing healthcare data in EU ICUs can improve patient care but faces challenges due to strict privacy laws.* -
  • The study analyzed four successful open ICU healthcare databases to identify best practices for data sharing while addressing ethical and legal issues.* -
  • The researchers propose four approaches and seven recommendations for effectively sharing healthcare data, focusing on data security, usability, sustainability, and implementation.*
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