With the swift growth of the information over the past few years, taking full benefit is increasingly essential. Question Answering System is one of the promising methods to access this much information. The Question Answering System lacks humans’ common sense and reasoning power and cannot identify unanswerable questions and irrelevant questions. These questions are answered by making unreliable and incorrect guesses. In this paper, we address this limitation by proposing a Question Similarity mechanism. Before a question is posed to a Question-Answering system, it is compared with possible generated questions of the given paragraph, and then a Question Similarity Score is generated. The Question Similarity mechanism effectively identifies the unanswerable and irrelevant questions. The proposed Question Similarity mechanism incorporates a human way of reasoning to identify unanswerable and irrelevant questions. This mechanism can avoid the unanswerable and irrelevant questions altogether from being posed to the Question Answering system. It helps the Question Answering Systems to focus only on the answerable questions to improve their performance. Along with this, we introduce an application of the Question Answering System that generates the question-answer pairs given a passage and is useful in several fields.

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Data analysis plays a vital role in the present era as it helps us to understand the patterns by exploring it in meaningful ways. Market—basket is one of the main methods used to find frequently occurring items in a transactional database and many researchers use the Apriori algorithm for this purpose. This paper presents the application of Market Basket Analysis to the healthcare section. The present work tries to find frequent diseases that occur together in an area by using the Apriori algorithm. This could help the residents of an area to be more cautious about the frequently occurring diseases and take all possible precautionary measures to safeguard their health. In addition, it could also help the doctors so that, they are ready with required medications to treat the patients.

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