DAT-ICU: Datathon for Intensive Care

DAT-ICU: Datathon for Intensive Care
Greater Paris University Hospitals, Massachusetts Institute of Technology, the French Intensive Care Society, University Pierre et Marie Curie and University Paris Descartes, endorsed by the French Society of Anesthesia & Intensive Care Medicine, have the pleasure to invite you to the event :

DAT-ICU : Datathon for Intensive Care


Partners Exhibit

Partners Symposia




Challenge
The participants will have 48 hours to undertake a clinical project using the MIMIC database in OMOP format. This database, developed by the computational physiology lab of MIT, contains all the information about 50 000 intensive care unit patients (demographics, vital signs, biology, medication, reports, etc.).


MIMIC data as playground
MIMIC is an openly available ICU dataset developed by the MIT Lab for Computational Physiology, comprising deidentified health data associated with ~40,000 critical care patients. It includes demographics, vital signs, laboratory tests, medications, and more.


Who should attend?
We aim to bring together clinicians, data scientists and innovators in healthcare to address current problems in healthcare with data analytics technologies.


8 million patients 40 hospitals
AP-HP (Greater Paris University Hospitals) is a European world-renowned university hospital. Its 39 hospitals treat 10 million people every year: in consultation, emergency, during scheduled or home hospitalizations. AP-HP is the leading employer in the Greater Paris area.


DAT-ICU aims at uniting clinicians and data scientists around medical data to answer relevant clinical questions.


The participants will have 48 hours to undertake a clinical project using the MIMIC database in OMOP format. This database, developed by the computational physiology lab of MIT, contains all the information about 50 000 intensive care unit patients (demographics, vital signs, biology, medication, reports, etc.).

You will have the opportunity to create mixed teams. Clinicians will bring the questions which need data mining, along with their expertise of the data. Data scientists judge the technical feasibility and eventually implement the various analysis needed. Interpretation will be everyone’s task.


You will have access to work stations connected to AP-HP calculation clusters provided by IT/IS teams. You will be able to access to the data pre-loaded in Jupyter environments, where will be installed the most popular tools and libraries in R and Python, with Hadoop Spark.


Even de-identified, medical data are sensible. It will not be possible to work on your own computers. Don’t hesitate to reach out to the organizers to check that all the tools and libraries you want will be available.


A prize will be awarded by an interdisciplinar jury to congratulate the most innovative approaches. Those projects will have the opportunity to present their results in front of the national congress of the French Intensive Care Society which will be held on Wednesday the 24th of January 2018. They will also be encouraged to write a research protocol to access later on to Greater Paris University Hospitals ICU data, which will be in the same OMOP format. Besides, a special prize could be awarded.





Free event for you to increase your knowledge and create new models.


Register here



How to get to the venue

Rothschild Hospital Picpus Campus in AP-HP

  • Metro 6 , stop : Picpus, Bel-Air
  • Bus n°29 stop : Picpus, Santerre
  • Bus n°56, stop : Square Courteline
  • RER A : stop : Nation




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