Please use this identifier to cite or link to this item:
https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/583
Title: | Implementation of an Internet of Things and Machine learning Based Smart Medicine Assistive System for Patients with Memory Impairment |
Authors: | Jagadeesan, Sowmya M, Kalarani Danga, S K R, Shekhar Uma, V Siddique, Mohammed Venu, Nookala |
Keywords: | Machine learning Memory impairment smart medicine IoT |
Issue Date: | 1-Dec-2022 |
Publisher: | IJFANS International Journal of Food and Nutritional Sciences |
Abstract: | The use of medicine has become widespread and is now a regular part of many people's daily routines. Thanks to advances in medical technology, many serious illnesses can now be successfully treated. The internet of things (IoT) and machine learning has provided solutions to many of the dispute faced by healthcare schemes, including the progress of smart homes and cities with e-medicine healthiness amenities that prioritize patient care. It is important for individuals to remember to take their medication on time, but for seniors or those with memory impairments, this can be a challenge. A smart medication box has been developed as a low-cost solution to help these individuals keep track of their medication schedules and receive reminders to take their prescriptions at the appropriate times. This system is easy to use and affordable, even for illiterate, elderly, or financially disadvantaged individuals. |
URI: | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/583 |
ISSN: | 2320-7876 2319-1775 |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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IJFANSUGCPaper5.pdf Restricted Access | Article | 643.15 kB | Adobe PDF | View/Open Request a copy |
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