Intelligent Solution for COVID19

The rapid and global spread of the COVID-19 case a limited number of COVID-19 test kits available in hospitals all over the world. Therefore, it is necessary to implement an automatic and rapid detection and the diagnostic system as a quick alternative diagnosis option to prevent COVID-19 spreading among people. We proposed an Intelligent System for Detecting, Diagnostic, and Limiting the Spreading of COVID-19 (IS2DOS-COVID19) using artificial intelligence and machine learning algorithms and techniques. The proposed solution consists of three sub-systems each one addresses a stage of COVID-19’s stages, Pre-infection System (Pre-infection stage), Infection system (Infection stage), and Post-infection system (Post-infection stage).

We address a significant factors that case rapid spread of the coronavirus COVID-19 and  solve the problem of shortage of COVID-19 test kits available in hospitals all over the world by proposed an Intelligent System for Detecting, Diagnostic, and Limiting the Spreading of COVID-19 (IS2DOS-COVID19) using artificial intelligence and machine learning algorithms and techniques.

As a contribution from us, we proposed an Intelligent System for Detecting, Diagnostic, and Limiting the Spreading of COVID-19 (IS2DOS-COVID19) using artificial intelligence and machine learning algorithms and techniques. The proposed project consists of three sub-systems each one addresses a stage of COVID-19’s stages, Pre-infection System (Pre-infection stage), Infection system (Infection stage), and Post-infection system (Post-infection stage).

•  The Pre-infection System proposed to reduce the number of infected people by determining the suspected of being infected using the vital signals and isolate the contacted individual earlier.
• The Infection System proposed to provide a quick alternative diagnosis option instead of the traditional way of diagnostic and classification. It will also provide a quick alternative classifier option for types of infection type: (COVID-19, Bacterial, Pneumonia, and etc.).
•  The post-infection system proposed to help to determine the stage and level of infection to help doctors to make a decision.

A preliminary experiments of the proposed system have been done and given very promising accuracy, 99% for Diagnostic System, 88% for Post-infection system, and 98% for Infection Classification System.

We address  every one around the world to reduce the rapid spread of the coronavirus COVID-19 and  solve the problem of shortage of COVID-19 test kits available in hospitals all over the world.

- Our system can be installed on a portable devices and will be used in hospitals .

-Improve the quality of healthcare services in in hospitals all over the world.

- The solution will have a high effect on the academic and research fields 

- Our system can be installed on a portable devices and will be used in hospitals all over the world.

- Moreover, we will share our finding with other scientific community by publishing the result of our system in scientific journals. 

it is Innovation, it provide an  automatic and rapid detection and diagnostic system for COVID19 and  prevent COVID-19 spreading among people by reduce the number of infected people by determining the suspected of being infected using the vital signals and isolate the contacted individual earlier by monitor and track the contacted individual

 As a contribution from us, we proposed an Intelligent System for Detecting, Diagnostic, and Limiting the Spreading of COVID-19 (IS2DOS-COVID19) using artificial intelligence and machine learning algorithms and techniques. The proposed solution consists of three sub-systems each one addresses a stage of COVID-19’s stages, Pre-infection System (Pre-infection stage), Infection system (Infection stage), and Post-infection system (Post-infection stage).

The proposed project consists of three sub-systems each one addresses a stage of COVID-19’s stages, Pre-infection System (Pre-infection stage), Infection system (Infection stage), and Post-infection system (Post-infection stage).

•  The Pre-infection System proposed to reduce the number of infected people by determining the suspected of being infected using the vital signals and isolate the contacted individual earlier.
• The Infection System proposed to provide a quick alternative diagnosis option instead of the traditional way of diagnostic and classification. It will also provide a quick alternative classifier option for types of infection type: (COVID-19, Bacterial, Pneumonia, and etc.).
•  The post-infection system proposed to help to determine the stage and level of infection to help doctors to make a decision.

 A preliminary experiments of the proposed system have been done and given very promising accuracy, 99% for Diagnostic System, 88% for Post-infection system, and 99% for Infection Classification System.

we have submite the result ot the best journal in technilogy (IEEE Transactions on Neural Networks and Learning Systems )  

https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5962385

simply, it  will reduce the time of detecting the COVID19 by provide automatic and rapid detection and diagnostic system for COVID19 
and will  prevent COVID-19 spreading among people by reduce the number of infected people by determining the suspected of being infected using the vital signals and isolate the contacted individual earlier by monitor and track the contacted individual

well it is currently do not apply but we targate all people over the world to prevent COVID-19 spreading among people by reduce the number of infected people by reduce the time of detecting the COVID19 by provide automatic and rapid detection and diagnostic system for COVID19 by determining the suspected of being infected using the vital signals and isolate the contacted individual earlier by monitor and track the contacted individual

prevent COVID-19 spreading among people by reduce the number of infected people by reduce the time of detecting the COVID19 by provide automatic and rapid detection and diagnostic system for COVID19 by determining the suspected of being infected using the vital signals and isolate the contacted individual earlier by monitor and track the contacted individual

there is no barriers 

we are a research team at King saud university  https://www.ksu.edu.sa/en/

7 part-time people 

because we are qualified to do that
we are scientists in AI and Robotics and Machine learning

King saud university  https://www.ksu.edu.sa/en/

We have two differents targeted business base on the system that will used one for  the COVID-19 Infection System and The post-infection system ther other for the Pre-infection System,  as illustrated below 

we already got fund from the scientific research deanship at King Saud University

 https://dsrs.ksu.edu.sa/ar/node/3281

We have no barriers Contribute to finding solutions to the Corona epidemic

we need partnership to use our system and to give us information regarding COVID 19 Xray and CT Scan images

Yes we are qualified we have the knowlege we are scientests and we proposed an Intelligent System for Detecting, Diagnostic, and Limiting the Spreading of COVID-19 (IS2DOS-COVID19) using artificial intelligence and machine learning algorithms and techniques. The proposed solution consists of three sub-systems each one addresses a stage of COVID-19’s stages, Pre-infection System (Pre-infection stage), Infection system (Infection stage), and Post-infection system (Post-infection stage).

•  The Pre-infection System proposed to reduce the number of infected people by determining the suspected of being infected using the vital signals and isolate the contacted individual earlier.
• The Infection System proposed to provide a quick alternative diagnosis option instead of the traditional way of diagnostic and classification. It will also provide a quick alternative classifier option for types of infection type: (COVID-19, Bacterial, Pneumonia, and etc.).
•  The post-infection system proposed to help to determine the stage and level of infection to help doctors to make a decision.

Yes we are qualified we have the knowlege we are scientests in AI and we proposed an Intelligent System for Detecting, Diagnostic, and Limiting the Spreading of COVID-19 (IS2DOS-COVID19) using artificial intelligence and machine learning algorithms and techniques. The proposed solution consists of three sub-systems each one addresses a stage of COVID-19’s stages, Pre-infection System (Pre-infection stage), Infection system (Infection stage), and Post-infection system (Post-infection stage).

•  The Pre-infection System proposed to reduce the number of infected people by determining the suspected of being infected using the vital signals and isolate the contacted individual earlier.
• The Infection System proposed to provide a quick alternative diagnosis option instead of the traditional way of diagnostic and classification. It will also provide a quick alternative classifier option for types of infection type: (COVID-19, Bacterial, Pneumonia, and etc.).
•  The post-infection system proposed to help to determine the stage and level of infection to help doctors to make a decision.