1
Faculty of Computer Science , Skyline University, Kano, 700103, Nigeria
(ashok.kumar@sun.edu.ng)
2
Computer System Engineering Department, Madha Engineering College, Anna University, Chennai, 600069, India
(abirameshnaresh@gmail.com)
3
Department of Computer Science and Engineering , Rajiv Gandhi College of Engineering, Anna University, 602105, India
(sindhupandi26@gmail.com )
4
Department of Computer Science and Engineering , St.Peter’s University, Chennai, 600054, India
(akumar2879@gmail.com)
5
Technical Officier, ICMR (NIRT), Chennai,600 031, India
(ranijeeva2011@gmail.com)
Abstract :
The number of mobile Medicare applications has grown exponentially over the past few years, and it is expected to continue to grow soon. The use of health apps promises to be a good way to improve patient care and make work easier for professional. However, some cases of malfunction or misdiagnosis and treatment recommendations have been reported. Regulation is essential to protect users and support product development. So, to suppress the malfunctions we present a pharmacopeia Medicare app in which the customer can see the original profile and the specification of any stimulant with its useful information. This inculcates a clean process which procures a less chance of misapplication of the drugs. These mobile medical app companies have improved access to clinical references and point of care tools. However, it is difficult to identify mobile medical apps that are suitable for the practice of pharmacy. This app is entirely based on our experience in accrediting websites with health-related content and journal.
Keywords :
malfunction , pharmacopeia , safeguard
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| Style | # |
|---|---|
| MLA | Ashok Kumar M , Abirami A, Sindhu P, Ashok Kumar V D , Rani V. "Modern Medical Innovation on the Preferred Information about the Medicine using AI Technique." Journal of Cognitive Human-Computer Interaction, Vol. 1, No. 1, 2021 ,PP. 8-17 (Doi : https://doi.org/10.54216/JCHCI.010102) |
| APA | Ashok Kumar M , Abirami A, Sindhu P, Ashok Kumar V D , Rani V. (2021). Modern Medical Innovation on the Preferred Information about the Medicine using AI Technique. Journal of Journal of Cognitive Human-Computer Interaction, 1 ( 1 ), 8-17 (Doi : https://doi.org/10.54216/JCHCI.010102) |
| Chicago | Ashok Kumar M , Abirami A, Sindhu P, Ashok Kumar V D , Rani V. "Modern Medical Innovation on the Preferred Information about the Medicine using AI Technique." Journal of Journal of Cognitive Human-Computer Interaction, 1 no. 1 (2021): 8-17 (Doi : https://doi.org/10.54216/JCHCI.010102) |
| Harvard | Ashok Kumar M , Abirami A, Sindhu P, Ashok Kumar V D , Rani V. (2021). Modern Medical Innovation on the Preferred Information about the Medicine using AI Technique. Journal of Journal of Cognitive Human-Computer Interaction, 1 ( 1 ), 8-17 (Doi : https://doi.org/10.54216/JCHCI.010102) |
| Vancouver | Ashok Kumar M , Abirami A, Sindhu P, Ashok Kumar V D , Rani V. Modern Medical Innovation on the Preferred Information about the Medicine using AI Technique. Journal of Journal of Cognitive Human-Computer Interaction, (2021); 1 ( 1 ): 8-17 (Doi : https://doi.org/10.54216/JCHCI.010102) |
| IEEE | Ashok Kumar M, Abirami A, Sindhu P, Ashok Kumar V D, Rani V, Modern Medical Innovation on the Preferred Information about the Medicine using AI Technique, Journal of Journal of Cognitive Human-Computer Interaction, Vol. 1 , No. 1 , (2021) : 8-17 (Doi : https://doi.org/10.54216/JCHCI.010102) |