Category Archives: machine learning

Verbal Autopsy Analysis Slides

I gave a talk on automatic methods to map from verbal autopsy interview results to underlying causes of death last August, and I like the slides so much that I’m going put them online here. Cheers to the new IHME themed templates for Power Point!

Capture

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Filed under machine learning

Population Health Metrics Research Consortium Gold Standard Verbal Autopsy Data 2005-2011

One exciting announcement that I got to make at the Verbal Autopsy Congress last October is that the PHMRC gold standard verbal autopsy validation data is now available for all researchers. You can find it in the Global Health Data Exchange: Population Health Metrics Research Consortium Gold Standard Verbal Autopsy Data 2005-2011.

Insert an example of doing something with it here.

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Filed under global health, machine learning

Comparative performance of existing VA methods

Our paper comparing the performance of several verbal autopsy (VA) analysis algorithms is now published. This was a long time in the making, so I’m very glad that it is now out in the literature. It is open access, too!

validation_process

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Filed under global health, machine learning

IHME Seminar: Ziad Obermeyer on Improving Prognosis

This week we heard from Ziad Obermeyer, a former IHMEer, and current Harvard prof and ER doc, about using big data to understand costs and improve predictions in the health system. And he didn’t say “big data” the whole time. Perhaps the video will appear here.

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Filed under global health, machine learning

IHME Seminar: Emily Fox on Bayesian Dynamic Modeling

This week we had a seminar on Bayesian Dynamic Modeling from UW Stats professor Emily Fox. The video is archived here! This talk had some of the most successful embedded video that I’ve seen in a talk. I don’t think it made it into the video perfectly, though, so imagine dancing honeybees while you watch.

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Filed under machine learning, statistics

Comparing spline models

I need a graphic for dismod that makes the point as nicely as this one:

smooth_splines

It’s from P. Dierckx, Curve and Surface Fitting with Splines, which also has some pretty pictures of bivariate splines doing their thing:

bisplines

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Contest results

I mentioned in February a couple of contests that caught my eye, and the Whale Detection one turned out to be quite interesting. Now it has completed, and the prediction quality (AUC, if I recall correctly) has been raised from .72 to .98. Very cool.

Some links:

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Filed under machine learning