Machine Learning Based Medicinal Care in Cloud
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2017 by IJCTT Journal | ||
| Volume-47 Number-4 |
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| Year of Publication : 2017 | ||
| Authors : Nandita Sengupta, Ramya chinnasamy | ||
| DOI : 10.14445/22312803/IJCTT-V47P135 |
Nandita Sengupta, Ramya chinnasamy "Machine Learning Based Medicinal Care in Cloud". International Journal of Computer Trends and Technology (IJCTT) V47(4):219-226, May 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
The cloud computing is the emerging technology with benefits like reduced investment and maintenance cost, increased scalability, availability and reliability. With the characteristics of ubiquitous access, on-demand access, pay-per-use service and resiliency, the cloud computing is applied everywhere. Due to non-availability of specialists in primary health centers in developing and under developing countries, patients are not treated properly. In this paper, treatment model for treating the patients in primary health center has been suggested. This model is built on machine learning system, where IaaS, SaaS, PaaS based cloud computing contribute a lot. Data like symptoms and prescribed medicines for different diseases are collected by different hospitals and various research centers. Same data will be stored in cloud and for similar types of symptoms; medicines can be prescribed whenever required. Thus, in our suggested treatment model, machine learning will help in treating the patients with stored knowledge of specialists through cloud computing.
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Keywords
Cloud computing, Data, Knowledge, Machine Learning, Specialists, Symptoms;