Medical diagnosis requires calculating a massive joint probability distribution
Marty Chavez · Marty Chavez (Sixth Street): Finding a Single Source of AI Truth · Apr 30, 2024 · at 9:29
Marty Chavez, Partner at Sixth Street and former Goldman Sachs CIO, discusses his PhD research at Stanford modeling Bayesian probabilistic frameworks for medical diagnosis.
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“The actual problem of diagnosis in general internal medicine Is you've got about a thousand disease categories and about 10,000 various clinical findings laboratory findings or manifestations or symptoms. And the joint probability distribution that you have to calculate is therefore on the order of a thousand to the 10,000.”
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