Using mobile game to help biomedical literature mining

• Main Authors: Jhih-JhengZeng, 曾致崢
• Other Authors: Tien-Hao Chang
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/98820919264674249342

碩士 === 國立成功大學 === 電機工程學系 === 102 === Many important biomedical observations are scattered in literature, which are difficult to search. However, constructing a centralized platform to collect the valuable information from literature is requires considerable human resource. At present, most biomedical databases were completed in this way. This study proposes a framework that integrates an Android app and social network to make the manual reading process efficient and interesting. Owing to the ubiquity of Android devices, biologists can extract valuable information from literature anytime and anywhere, such as the period from their home to work. Conventionally, the extracted information must be verified and approved by a supervisor. Biologists can use this Android app to kill time. Thus, the proposed Android app was designed as a game in which biologists get credits when their answers are consist with the society. To test the performance of our method, we use consistency of users to find the results, which regarded as answer for platform. It has been checked manually. Based on this answer collection, we define the classification to find correctly mark PPI sentences. Our assessment shows that platform achieved 69.35% recall on the answer corpus. If we increase the consistency, the recall rises to 80.00%. Compare answers with the default mark. The precision increased from 37.70% to 52.46%. The results prove that the accuracy of the marked sentence rise by platform.