MIT released 40.000 ICU patient files for crowd research
When 6 out of 7 interventions are considered to have no impact or causing harm on ICU patients(1), something is wrong.
ICU environments are complex as patients are heavily medicated and react differently to identical treatments due to genetic differences and other variables.
The way ahead in solving this paradox is to analyse the data collected on ICU patients. The trick is to find relevant algorithms based on the data and to build constantly improved decision making tools for clinicians.
But finding those algorithms can be very challenging due to the share deluge of clinical data(2). To solve this problem, researchers from the “MIT Laboratory for Computational Physiology” are leading the way by releasing their ICU data online in order to crowdsource this knowledge-generating process.
(1) MIT NEWS: Supporting clinical research with an intensive-care database
(2) Daintel has collected and stored more than 10 billion ICU patient values for its clients.
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