congress

MILAN Critical Care Datathon and ESICM’s Big DATATALK

Location

Centro Congressi Humanitas Via Manzoni 113 Rozzano MI

January
31
9:00 am
February
02
2:00 pm
  • Crediti Ecm
    yes
  • Language
    English
  • Duration
    2 days

Information

A Critical Care Datathon is a 24-hour challenge where clinicians, data scientists and statisticians work in teams with the goal of finding new ways to answer actual clinical questions using large datasets of electronic health records. It is a full-immersion experience where resourceful professionals put themselves to the test and cooperate with specialists of different fields, learn more about the potential of medical data and maybe make a breakthrough in critical care research!

The Big Datatalk consists in a series of traditional conference talks mixed with interactive sessions in which the audience will be guided through real-time simulations of patient database queries and development of predictive models. Acclaimed researchers will explain the potential of Machine Learning for Intensive Care Medicine, present the results obtained so far with this type of research and discuss issues of sensible data security, privacy, and quality.

Why Artificial Intellingence and Intensive Care Medicine?

The diffusion of electronic health records and advancement of monitoring devices has made possible the collection of always increasing amounts of patients’ data, especially in critical care. The opportunities arising from this form of Big Data are numerous and diverse, and are promoting a surge in research fundings and industry interests. Indeed, their analysis with machine learning and predictive modelling could provide new insights and improve patient care.

More information on

https://dat-icm-milan.com

 

 

 

Chairperson

  • Maurizio Cecconi Head of Department Anaesthesia and Intensive Care Units
  • R. Barbieri
  • L. Celi
  • Armand Girbes Head of Department of Intensive Care Medicine
  • Ari Ercole Lecturer and Consultant Anaesthetist at the University of Cambridge