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According to Daily Mail, scientists have built a mobile app that helps detect the virus through cough patterns via audio. ResApp, the app's name, uses machine learning to achieve that. The app has even gone through testing participated by 741 patients in the US and India. At last, results revealed that it reaches 92 per cent of accuracy by correctly detecting the patients having the virus in them. In follow-up tests, the researchers continue to test it with patients with other respiratory conditions, including asthma, pneumonia and respiratory tract infections. It showS that it can reach 90 per cent specificity for COVID-19. The app is said to be initially deployed in settings where frequent COVID- 19 tests are required. Those include travel, sports, entertainment, and healthcare settings. Professor Catherine Bennett, a member of ResApp's Covid-19 Scientific Advisory Board, says that "the simplicity, ease of use and unlimited scalability of ResApp's test will be welcomed by public health officials around the world." Figure Q2 TechNave (a) Illustrates the ResApp's architecture using the model view controller (MVC) architecture. Draw the components in each model, view and controller elements of the architecture. model - elements list view - elements list controller - elements list

According to Daily Mail, scientists have built a mobile app that helps detect the virus through cough patterns via audio. ResApp, the app's name, uses machine learning to achieve that. The app has even gone through testing participated by 741 patients in the US and India. At last, results revealed that it reaches 92 per cent of accuracy by correctly detecting the patients having the virus in them. In follow-up tests, the researchers continue to test it with patients with other respiratory conditions, including asthma, pneumonia and respiratory tract infections. It showS that it can reach 90 per cent specificity for COVID-19. The app is said to be initially deployed in settings where frequent COVID- 19 tests are required. Those include travel, sports, entertainment, and healthcare settings. Professor Catherine Bennett, a member of ResApp's Covid-19 Scientific Advisory Board, says that "the simplicity, ease of use and unlimited scalability of ResApp's test will be welcomed by public health officials around the world." Figure Q2 TechNave (a) Illustrates the ResApp's architecture using the model view controller (MVC) architecture. Draw the components in each model, view and controller elements of the architecture. model - elements list view - elements list controller - elements list

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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According to Daily Mail, scientists have built a mobile app that helps detect the virus through cough patterns via audio. ResApp, the app's name, uses machine learning to achieve that. The app has even gone through testing participated by 741 patients in the US and India. At last, results revealed that it reaches 92 per cent of accuracy by correctly detecting the patients having the virus in them. In follow-up tests, the researchers continue to test it with patients with other respiratory conditions, including asthma, pneumonia and respiratory tract infections. It shows that it can reach 90 per cent specificity for COVID-19. The app is said to be initially deployed in settings where frequent COVID- 19 tests are required. Those include travel, sports, entertainment, and healthcare settings. Professor Catherine Bennett, a member of ResApp's Covid-19 Scientific Advisory Board, says that "the simplicity, ease of use and unlimited scalability of ResApp's test will be welcomed by public health officials around the world." Figure Q2 TechNave (a) Illustrates the ResApp's architecture using the model view controller (MVC) architecture. Draw the components in each model, view and controller elements of the architecture. model - elements list view - elements list controller - elements list
Transcribed Image Text:According to Daily Mail, scientists have built a mobile app that helps detect the virus through cough patterns via audio. ResApp, the app's name, uses machine learning to achieve that. The app has even gone through testing participated by 741 patients in the US and India. At last, results revealed that it reaches 92 per cent of accuracy by correctly detecting the patients having the virus in them. In follow-up tests, the researchers continue to test it with patients with other respiratory conditions, including asthma, pneumonia and respiratory tract infections. It shows that it can reach 90 per cent specificity for COVID-19. The app is said to be initially deployed in settings where frequent COVID- 19 tests are required. Those include travel, sports, entertainment, and healthcare settings. Professor Catherine Bennett, a member of ResApp's Covid-19 Scientific Advisory Board, says that "the simplicity, ease of use and unlimited scalability of ResApp's test will be welcomed by public health officials around the world." Figure Q2 TechNave (a) Illustrates the ResApp's architecture using the model view controller (MVC) architecture. Draw the components in each model, view and controller elements of the architecture. model - elements list view - elements list controller - elements list
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