I’ve started a small, graduate research project for my AI class that’s been stealing my attention lately. I’ll be data mining a large data set with the machine learning software Weka, to train the software how to predict prognosis (estimated survivability from diagnosis) of stage IV breast cancer patients. Weka seems to have an impressive array of machine learning tools, but most of my time is being spent converting data from one format to the other. It feels a lot like moving sand from one pile to the other with tweezers.
This research, like all research, is incremental. Several researchers have done a similar study and fortunately their papers are available here, here, here, here and here. Having ready and open access to these papers is crucial for me to be able to learn past techniques and build upon them. I’m not expecting to cure cancer here, only to maybe add a little piece of information to the puzzle, if I’m lucky.
Now imagine an environment where those papers were blocked or were cost prohibitive to the point of being inaccessible. Continue reading “Supporting Open Access research”