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Building AI to Diagnose Health Symptoms based on various data sources

Millions of people Google every day “why am I tired” and there is no clear answer to this question. Nutritional deficiencies or hormonal imbalances are more common every year in our society.

In this talk, we are going to detail how we handled this diagnose AI using different types of data sources. The first and most important input for the AI, and the most challenging one to process, is user input. We ask for objective data like gender or age but the symptoms are what really matters.

User input is just one of the data sources, but there is another actor here, the labs. We work with different labs, each of them using different units of measurement and optimal ranges for the same test, so the challenge here is to create a scoring algorithm to let us compare results.

Dealing with all these data allows us to diagnose a specific starter test for each user to discover their deficiencies with just a quiz.


Lola Priego

Founder & CEO of Base

Lola is the Founder and CEO of Base, the first health tracker that uses a data science app paired with at-home testing to help people feel better. Prior to founding Base, Lola was a software engineer at Amazon, Facebook and Instagram where she was focused on improving network performance. She...

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Jose del Pozo

Senior Software Engineer at Base

Jose is a Senior Software Engineer working at Base, the first health tracker that uses a data science app paired with at-home testing to help people feel better. Before Base, Jose worked at idealista, the real state company leader in the south of Europe, and Ontruck, a digital freight platform.

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Monday Nov 1 / 10:10AM PDT (40 minutes)


Architectures You've Always Wondered About


ArchitectureArtificial IntelligenceMachine Learning

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