Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/70213
Title: Mining review data to recommend doctors
Authors: Huang, Lingyun
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
Issue Date: 2017
Abstract: There are a lot of online reviews on the medical treatments provided by the gynecologists. It will be too laborious for the human beings to process all the reviews at one go. Hence, this final year project is developed to analyze the comments in the web forums and find out the patients’ impressions on their gynecologists. Various measures have been explored to write an entity recognition algorithm in identifying the gynecologists being mentioned in the reviews. Data mining techniques have also been employed to dig out the essential information. Lastly, a web application is developed to let its users to know the relative cost of treatments and the experiences of the treatments with each gynecologist. Statistics on the Top 10 gynecologists in terms of medical experience and cost of treatment are also rendered on the web page.
URI: http://hdl.handle.net/10356/70213
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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