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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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