From development to clinical practice: deployment of an interoperable and secure ML-based CDSS to aid in the early detection of sepsis

This publication has 33 references indexed in Scilit:

• Predictive health monitoring: Leveraging artificial intelligence for early detection of infectious diseases in nursing home residents through discontinuous vital signs analysis
  Computers in Biology and Medicine, 2024
• Classification assessment methods
  Applied Computing and Informatics, 2020
• A systematic review on risk factors associated with sepsis in patients admitted to intensive care units
  Australian Critical Care, 2019
• Towards precision medicine in sepsis: a position paper from the European Society of Clinical Microbiology and Infectious Diseases
  Clinical Microbiology and Infection, 2018
• Protocolo informático de manejo integral de la sepsis. Descripción de un sistema de identificación precoz
  Enfermedades Infecciosas y Microbiología Clínica, 2018
• Incidence and Trends of Sepsis in US Hospitals Using Clinical vs Claims Data, 2009-2014
  JAMA, 2017
• Development and Implementation of Sepsis Alert Systems
  Clinics in Chest Medicine, 2016
• The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)
  JAMA, 2016
• Notifications Received by Primary Care Practitioners in Electronic Health Records: A Taxonomy and Time Analysis
  The American Journal of Medicine, 2012
• Application of the ATC/DDD methodology to monitor antibiotic drug use
  European Journal of Clinical Microbiology & Infectious Diseases, 1998