Healthcare Yelp: Health Care Services Prediction

Patients need to find a trustworthy physician to receive medical treatment from. Although healthcare review websites currently exist, the ratings on those websites are determined subjectively by reviewers. These reviewers rate services based on various criteria, so this does not give an accurate description of a physician's service. We propose a method to create an overall rating for a doctor by combining all of their existing reviews on the Internet. Although we will take the original numerical rating (generally 1-5) into account, we will be putting more emphasis on the review's text and will use a sentiment analysis tool to analyze the reviews for their positivity or negativity. We will take this information and use the mixture model framework to generate an overall numerical rating of a physician. In this way, an individual would only need to go to one platform to find a physician's reviews rather than scourge through a plethora of reviews. Our research focuses on creating a space where users can seek medical care and easily discover numerous options for physicians that share similar review levels. These are determined by taking the doctor's reviews and analyzing it in a way that can categorize the doctors on the sites based on these reviews.