patella | Ruby gem that allows people to memoize to memcache | Application Framework library

Based on my understanding, you have no idea how many patients for a specific disease, right?, If so, I have a little idea:

1:You load the csv and get patients column for a disease, something like this

I would personally first look at the Levenshtein distance as a basic and easy approach that may work well. I would stem the words first and then run Levenshtein.

A more sophisticated approach would be to use already trained word2vec models (available in Spark and NLTK), and then aggregate vectors of words that appear in each ngram to generate vectors for ngrams. Finally, you can compare the resulting vectors and find the most similar pairs. There are libraries out there that allows you to generate these aggregated vector representations for ngrams and documents. You can also find related articles and come up and implement your own aggregation method given your specific need.

You want to concatenate the transforms. Something like:

Try json_encode. It adds "\r\n" into the string instead of newlines without breaking it and outputs the variable as a single string.