Medknowex — A website for extracting medical knowledge using an opinion target finding system

Now-a-days, there are websites available for answering medical queries provided by the user. There are a lot of patients and doctors involved in these crowd sourced question and answering websites. One of the most important challenges of extracting knowledge from these medical websites is that the quality of question-answer pairs is not guaranteed. Also, the questions asked by patients can be noisy and ambiguous. The answers' quality varies due to reasons such as doctors' expertise, their level of commitment and their purpose of answering questions. To extract useful knowledge, it is important to distinguish required and relevant information from extraneous and erroneous information. To solve this problem, we propose a system, “An Opinion Target Finding system-MEDKNOWEX” for extracting medical knowledge. It can be accomplished by two processes namely, medical term extraction and trustworthiness calculation. The process of extracting medical term includes stemming technique to remove the superfluous words from the user query and identify the precise medical terms. The process of calculating trustworthiness of an answer includes truth discovery framework to estimate precise answer with the factors like expertise, ethnicity and commitment level of doctors. This system can automatically provide high quality knowledge information extracted from the noisy question-answer pairs.