Dascena presents at ATS conference in San Diego, CA

Dascena presents at ATS conference in San Diego, CA

May 23, 2018

Two novel machine learning algorithms were presented at the American Thoracic Society International Conference, May 18-23, 2018, in San Diego, CA.

A pediatric sepsis prediction and detection algorithm was validated for four hours before pediatric severe sepsis presentation. This algorithm analyzed pediatric vital sign data and achieved a high sensitivity for pediatric patient data at UCSF.

A machine learning algorithm for mortality prediction was developed and validated across multicenter patient datasets, maintaining high sensitivity and specificity up to 48 hours in advance of in-hospital death while using only six commonly measured patient vital signs as input.

Further details can be found on the ATS website at http://conference.thoracic.org/. A copy of the presentation materials can be accessed here.

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