Analysis of the Predictive Potential of Pulse Oximeter Data for Admission

Dustin Dunsmuir, Ainara Garde, Guohai Zhou, Shahreen Raihana, Tanvir Huda, Walter Karlen, Parastoo Dehkordi, Shams El Arifeen, John Mark Ansermino

Research output: Contribution to conferenceAbstract

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Abstract

Annually, more than 13 million children die from sepsis caused by conditions such as
pneumonia and diarrhea due to a lack of resources and clinical expertise [1]. An objective test for which
children should be referred to a facility would help community healthcare workers to best utilize resources.
Mobile phones are now widely used even in low resource settings and provide an ideal platform for both
vital signs assessment and automatic diagnosis. The first step is to identify differences in objective measures
between children who need to be admitted and those who can return home.
Original languageEnglish
Number of pages2
Publication statusPublished - May 2016
Externally publishedYes
Event2015 Annual Meeting of The Society for Technology in Anesthesia (STA): Anesthesia: Beyond the Horizon - Royal Palms Resort & Spa, Phoenix, United States
Duration: 7 Jan 201510 Jan 2015

Conference

Conference2015 Annual Meeting of The Society for Technology in Anesthesia (STA)
CountryUnited States
CityPhoenix
Period7/01/1510/01/15

Cite this

Dunsmuir, D., Garde, A., Zhou, G., Raihana, S., Huda, T., Karlen, W., ... Ansermino, J. M. (2016). Analysis of the Predictive Potential of Pulse Oximeter Data for Admission. Abstract from 2015 Annual Meeting of The Society for Technology in Anesthesia (STA), Phoenix, United States.