Can we predict flu deaths with Machine Learning and R? by cavedave in MachineLearning

[–]cavedave[S] 0 points1 point  (0 children)

I didn't make it. I was just looking at making flu pandemic epidemiology models in R and came across it

Can we predict flu deaths with Machine Learning and R? by cavedave in MachineLearning

[–]cavedave[S] 2 points3 points  (0 children)

Influenza is an important topic. Something like 2% of GDP is predicted to be lost to a flu pandemic in the 21st century. Things we can do to reduce the deaths would be good

What are the most interesting/surprising/ data sets you have come acorss? by onlyonespooky in datasets

[–]cavedave 0 points1 point  (0 children)

This one of what US people die of between 1999-2015 is very interesting https://www.reddit.com/r/datasets/comments/5n44bz/underlying_cause_of_death_19992015/

All osrt of interesting questions about what kills people can be answered by looking at state level data.

Some of the very long datasets of food prices are interesting. I can dig one up if economic history is your cup of tea.

I also love the "what causes war" datasets. I think it is an interesting area.

Bumble bee mimicking Robber fly by cavedave in Beekeeping

[–]cavedave[S] 2 points3 points  (0 children)

The sneaky fake bumble bees. what will the cunning devils think of next?

Texas Resident Infant, Maternal, and Fetal Deaths by cavedave in datasets

[–]cavedave[S] 0 points1 point  (0 children)

Recent Increases in the U.S. Maternal Mortality Rate. Maternal deaths in Texas are a source of some argument at the moment.

It looks like there is other interesting data at the site

Underlying Cause of Death, 1999-2015 by cavedave in datasets

[–]cavedave[S] 0 points1 point  (0 children)

This data was used in stand-your-ground laws result in more fatal shootings

But I can imagine it being used for loads of more checks dealing with changes in causes of death

Mathematics for Human Flourishing by cavedave in PhilosophyofScience

[–]cavedave[S] 0 points1 point  (0 children)

Not exactly PoS but I thought there was enough on the why here and some of the effects of biases in society on the who and what of science that it was worth posting here.

Who Fights and who supports Wars Replication data by cavedave in datasets

[–]cavedave[S] 0 points1 point  (0 children)

there is data from a few papers here Reassessing American Casualty Sensitivity: The Mediating Influence of Inequality is one. Replication Data is the actual link to the data but I thought direct linking to a zip was unwise.

Product Trade by Year and Country by cavedave in datasets

[–]cavedave[S] 1 point2 points  (0 children)

This allows cool things like seeing Germany still makes the most printing presses 600 years after gutenberg http://atlas.media.mit.edu/en/visualize/stacked/sitc/export/show/all/7264/1995.2014/