The Datasets

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MIMIC is an openly available dataset developed by the MIT’s LCP. It is now at its third version (MIMIC-III) and it comprises deidentified health data associated with ~40,000 critical care patients admitted to the Beth Isreaeli Deaconess Center between 2001 and 2012. It includes demographics, lab tests results, vital signs, medications, imaging reports and mortality (in and out of hospital).

Introduction and Documentation
Github repository
Data extraction tutorial


The eICU Collaborative Research Database is an extensive multi-center critical care database made available by Philips Healthcare in partnership with MIT’s LCP. It contains data coming from several ICUs throughout USA, about patients admitted between 2014 and 2015, and it is part of a larger telehealth initiative aimed at delivering need-to-know information to caregivers.

Introduction and Documentation
Github repository
Example code

The Laboratory for Computational Physiology (LCP)

The Laboratory for Computational Physiology (LCP), under the direction of Professor Roger Mark, conducts research aimed at improving health care through the generation of new knowledge, monitoring technology and clinical decision support by applying physiological signal processing, data science and machine learning technology to large collections of critical care data. The laboratory’s investigators include clinicians, computer and data scientists, electrical engineers, and biostatisticians. Current LCP research comprises two major projects, Critical Care Informatics and PhysioNet.

Event Dates
February 1-3, 2019
(Friday to Sunday)

Humanitas Research Hospital
Via Manzoni 56, Rozzano (Milan) – Italy