Geodesic
Social evaluation of innovative drugs: A method based on big data analytics
Computer Science and Information Systems, Tome 14 (2017) no. 3.

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The evaluation of drugs is a professional and time consuming process which involves a series of clinical trials and evidence-based verifications. However, an innovative drug may still suffer from unpredictable risks after coming into market due to the complex circumstances in practical utilization. Owing to the popularization of information networks and social media, big data analytics exhibits a new perspective of social evaluation as the supplementary means on this issue. This paper designed a Hadoop platform for data collection and processing, and explored the social evaluation of innovative drugs based on big data analytics. Through the analysis of mined data and affective computing on online comments, a new Chinese drug extracted from marine organisms can be evaluated comprehensively by the proposed method. Furthermore, the potential utilization of fullerene materials may be considered for improving its curative effects. Research work of this paper provides a big data analytics method for social evaluation of innovative drugs as well as their promising improvements.
Keywords: Big data analytics, social media, innovative drug, social evaluation, marine biology, fullerene materials 
@article{CSIS_2017_14_3_a16,
     author = {Genghui Dai and Xinshuang Fu and Weihui Dai and Shengqi Lu},
     title = {Social evaluation of innovative drugs: {A} method based on big data analytics},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {14},
     number = {3},
     year = {2017},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2017_14_3_a16/}
}
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Genghui Dai; Xinshuang Fu; Weihui Dai; Shengqi Lu. Social evaluation of innovative drugs: A method based on big data analytics. Computer Science and Information Systems, Tome 14 (2017) no. 3. http://geodesic.mathdoc.fr/item/CSIS_2017_14_3_a16/