An innovative IoT service for medical diagnosis
| Main Author: | Safia Abbas |
|---|---|
| Format: | Article eJournal |
| Terbitan: |
, 2020
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/4120273 |
| ctrlnum |
4120273 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Safia Abbas</creator><date>2020-10-01</date><description>Due to the misdiagnose of diseases that increased recently in a scarily manner, many researchers devoted their efforts and deployed technologies to improve the medical diagnosis process and reducing the resulted risk. Accordingly, this paper proposed architecture of a cyber-medicine service for medical diagnosis, based internet of things (IoT) and cloud infrastructure (IaaS). This service offers a shared environment for medical data, and extracted knowledge and findings between patients and doctors in an interactive, secured, elastic and reliable way. It predicts the medical diagnosis and provides an appropriate treatment for the given symptoms and medical conditions based on multiple classifiers to assure high accuracy. Moreover, it entails different functionalities such as on-demand searching for scientific papers and diseases description for unrecognized combination of symptoms using web crawler to enrich the results. Where such searching results from crawler, are processed, analyzed and added to the resident knowledge base (KB) to achieve adaptability and subsidize the service predictive ability.</description><identifier>https://zenodo.org/record/4120273</identifier><identifier>10.11591/ijece.v10i5.pp4918-4927</identifier><identifier>oai:zenodo.org:4120273</identifier><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><source>International Journal of Electrical and Computer Engineering (IJECE) 10(5) 4918-4927</source><subject>Cyber-medicine</subject><subject>e-health</subject><subject>IoT</subject><title>An innovative IoT service for medical diagnosis</title><type>Journal:Article</type><type>Journal:Article</type><recordID>4120273</recordID></dc>
|
| format |
Journal:Article Journal Journal:eJournal |
| author |
Safia Abbas |
| title |
An innovative IoT service for medical diagnosis |
| publishDate |
2020 |
| topic |
Cyber-medicine e-health IoT |
| url |
https://zenodo.org/record/4120273 |
| contents |
Due to the misdiagnose of diseases that increased recently in a scarily manner, many researchers devoted their efforts and deployed technologies to improve the medical diagnosis process and reducing the resulted risk. Accordingly, this paper proposed architecture of a cyber-medicine service for medical diagnosis, based internet of things (IoT) and cloud infrastructure (IaaS). This service offers a shared environment for medical data, and extracted knowledge and findings between patients and doctors in an interactive, secured, elastic and reliable way. It predicts the medical diagnosis and provides an appropriate treatment for the given symptoms and medical conditions based on multiple classifiers to assure high accuracy. Moreover, it entails different functionalities such as on-demand searching for scientific papers and diseases description for unrecognized combination of symptoms using web crawler to enrich the results. Where such searching results from crawler, are processed, analyzed and added to the resident knowledge base (KB) to achieve adaptability and subsidize the service predictive ability. |
| id |
IOS17403.4120273 |
| institution |
Universitas PGRI Palembang |
| institution_id |
189 |
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library:university library |
| library |
Perpustakaan Universitas PGRI Palembang |
| library_id |
587 |
| collection |
Marga Life in South Sumatra in the Past: Puyang Concept Sacrificed and Demythosized |
| repository_id |
17403 |
| city |
KOTA PALEMBANG |
| province |
SUMATERA SELATAN |
| repoId |
IOS17403 |
| first_indexed |
2022-07-26T01:55:24Z |
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2022-07-26T01:55:24Z |
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dc |
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1739407244138643456 |
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17.538404 |