02:58
C3 Deep learning approach for autonomous medical diagnosis in spanish language
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Table of contents
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- Description
- Transcript
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About the talk
00:00 Intro
00:30 Demo
01:20 How to do
02:30 Conclusion
About speaker
I’m an autonomous, curious and self-driven Data Scientist, with a solid healthcare background - MD in Cardiology. My focus is develop the best deep learning solutions for healthcare.
View the profileMy name is Gustavo. Quality, medical data scientist from Mema has sent you a deep learning approach for altamed medical diagnosis in Spanish language, distal generate a specific medical diagnosis for intubation, free text and has let me show you I have a sentence translator. Because the colonial patient does and change them into specific medical term about related symptoms to General labels for American sex. And finally this text is the input to a hierarchical organization that were on model. That makes the diagnosis
prediction accuracy of 80% and 93% were in the top three results. Now it's a pleasure for me to introduce you to the man who has made all this possible or Festivus. Text Chuck. I would like to punch it out from artificial intelligence view. How we built we applied left side of the construction of Broach, on the 100 that I do. We have medical records, They secrete sex pills with a doctor. Write a kind of highlights from the case and the diagnosis on using machine learning with build
a data set, and trying different, with the betting's bidirectional on short-term, memory cells, annotation liar with the patient information on structure in which the doctor Peak, translate and write that on the back Beach tomorrow. Universal translation, practice patient language to the doctors at 2. Associations and America. What do most part together? We have an end-to-end flow and we call it out and we were waiting for you and the clinical half track track.
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