Step 1 : Questions were exposed to natural language processing engine to evaluate the respective topics which this questions are covering.
Step 2: Build a hierarchy of such topics and categorize them semantically, like disease and conditions, drugs, medical procedures, diagnosis etc.
Step 3: Created a recommendation system based on identified topics of the questions and finding similar questions for that topic. We also provided a search engine for searching the questions based on generic keyword entered by user
Healthcare, Search Engine, Machine Learning, Recommendation Engine, Text Analytics