Matthew's Blog

Fitbit: Moving from Data to Wisdom 

Data.  Fitbit, is exceptional good about capturing data.  Through its devices, scales, and app, data such as steps, sleep, heart rate, weight, and food are all easy to capture. Information. Fitbit, on both its app and platform, also displays this data in a very user...

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The Creation of Real and Digital Patient Hybrids

In graduate school, as I was working towards my Master’s Degree in Physics, I remember the lecture when Quantum Mechanics fell into place for me.  It was the lecture on Wave-Particle Duality. Wave-particle duality, simply stated, is that a quantum entity can have the...

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Questioning Health

Is a 29-year-old winner of the wheelchair division of The Seattle Marathon healthier then an obese 22-year-old video game player? Is a competitive triathlete taking a cholesterol-lowering medication healthy? Is there such a thing as a healthy 75-year-old? How about a...

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Healthcare CEO Tweet Frequency: The Bill Gates Rule

If you can convince your Healthcare CEO that Twitter is a gateway technology from Healthcare 2.0 (Social Media) to  Healthcare 3.0 (AI, Blockchain, Semantic Web, etc), and they decide to try it, then how frequently do they need to tweet? I suggest using what I call...

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Python Programming or TV?

Learning Python for Machine Learning, considering ethical systems of thought for Artificial Intelligence applications within healthcare, or creating a definition of health valid for Semantic Web applications is hard. Watching MSNBC or Fox News and yip-yapping about...

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Artificial Intelligence, Innovation, and Informed Consent

Artificial Intelligence (AI) requires three things to work. High processing speed. Large amounts of data storage. Large amounts of data collection. The first two are localized technology innovations.  These are done in the confines of labs, both public and private,...

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