Use of VUI in CDSS support and predictive analytics

Abstract VUI for a CDSS, Do we Need a Name?

Inspiration

Mountaineering in the high mountains, as I breathe a fresh breath of mountain crisp air, I reach-out, to a medical tablet, only to realize that my gloves are frozen and nothing tactile works, this calls for a VUI, a need for a better hands free approach and the need for numbers, a CDSS in my practice and an edge for a hybrid cloud approach, even if the wireless link fails, I can still use a local cache and a local CDSS on the edge.

What it does

Provides Tensor-flow based classifiers for xray images and 1D data from a MUSE headset, both ac·cel·er·om·e·ter and Photoplethysmogram PPG data for medical records, with a hybrid cloud for the numbers for CDSS support, both @edge and on cloud.

How I built it

I used Botlibre, with knowledge programming and self scripts, which use AIML and API integration to both @edge CDSS and HS7 DSS servers, and a builtin resnet for classification.

Challenges I ran into

Relating to a nurse, without a name, is it a nurse?, I think it is a UI, but my pooch thinks it lives, actually he claims memory lives, to me it is just a cartoon animation and a UI.

Accomplishments that I'm proud of

Low bandwidth requirements and optimization of restful API calls.

What I learned

VUI is invaluable, and is a Demonstration(TM) , a means of pacifism, for the need for VUI, especially in extreme environments. CDSS and the numbers are essential in acclimatization, EEG and a Digital analysis helps a lot in preventing HAPE and HACE and hypothermia.