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4 months seems a bit short for data that may have seasonal trends? Also, data that is more sparse (e.g. blood tests, for which I may have just one or two data points per year) may not be "predictive", but still provides a valuable baseline.

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That's a good point. The Stanford study looks at patients receiving clinical care, which is strongly biased toward acute and chronic diseases whose severity overwhelms any potential seasonality.

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