Nil Shah, Department of Computer Science, Lakehead University, ON, Canada
Jinan Fiaidhi, Department of Computer Science, Lakehead University, ON, Canada
Sabah Mohammed, Department of Computer Science, Lakehead University, ON, Canada
Throughout history, the area of drug discovery and development has been a financial strain due to the associated high costs. In order to offset this financial burden, drug companies are continually increasing the price of medications to consumers. Some consumers remain unaware of the types of medications available on the market and the gap in cost between these types. The two main types of medications available on the market are: 1) Generic drugs and 2) Brand name drugs. The purpose of this paper is to examine the similarities and difference of generic and brand name drugs from patient’s reviews at major medications blogs like dugs.com. A subjectivity sentimental analysis framework has been developed that can effectively score these reviews without going into the complexities of using natural language or machine learning approaches. The developed framework use a well-known rule based subjectivity API known as VADER besides an effective web crawler. Results of this analysis shows more sentiments are with the generic antihypertension drugs compared to the brand drugs. The validation of these results was based on Google Trends. More concrete analysis of the results on wider list of medications as well as more blogs is left to our future work.
Sentimental analysis, Antihypertension drugs, Branded drugs, Generic drugs, Web crawling, Text analytics
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APA:
Shah, N., Fiaidhi, J., & Mohammed, S. (2019). Evaluating Anti-Hypertension Medications Usage on Patient Care Online Blogs. International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, 125, 43-52. doi: 10.33832/ijast.2019.125.04.
MLA:
Shah, Nil, et al. “Evaluating Anti-Hypertension Medications Usage on Patient Care Online Blogs.” International Journal of Advanced Science and Technology, ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 125, 2019, pp. 43-52. IJAST, http://article.nadiapub.com/IJAST/Vol125/4.html.
IEEE:
[1] Nil Shah, Jinan Fiaidhi and Sabah Mohammed, “The Educational Games Application Using Smartphone in Learning Mathematics for Elementary School Students.” International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 125, pp. 43-52, Apr 2019.
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