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Real-time artificial intelligence based health monitoring, diagnosing and environmental control system for COVID-19 patients.
Rahman, Muhammad Zia Ur; Raza, Ali Hassan; AlSanad, Abeer Abdulaziz; Akbar, Muhammad Azeem; Liaquat, Rabia; Riaz, Muhammad Tanveer; AlSuwaidan, Lulwah; Al-Alshaikh, Halah Abdulaziz; Alsagri, Hatoon S.
Affiliation
  • Rahman MZU; Department of Mechanical, Mechatronics and Manufacturing Engineering, University of Engineering and Technology Lahore, Faisalabad Campus, Faisalabad 38000, Pakistan.
  • Raza AH; Department of Mechanical, Mechatronics and Manufacturing Engineering, University of Engineering and Technology Lahore, Faisalabad Campus, Faisalabad 38000, Pakistan.
  • AlSanad AA; Imam Mohammad Ibn Saud Islamic University, Information Systems Department, Riyadh 11432, Saudi Arabia.
  • Akbar MA; Lappeenranta University of Technology, Department of Information Technology, Lappeenranta 53851, Finland.
  • Liaquat R; U.S.-Pakistan Centre for Advanced Studies in Energy (USPCAS-E), National University of Sciences & Technology (NUST), Sector H-12, Islamabad 44000, Pakistan.
  • Riaz MT; Department of Mechanical, Mechatronics and Manufacturing Engineering, University of Engineering and Technology Lahore, Faisalabad Campus, Faisalabad 38000, Pakistan.
  • AlSuwaidan L; College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University, Riyadh 11432, Saudi Arabia.
  • Al-Alshaikh HA; Imam Mohammad Ibn Saud Islamic University, Information Systems Department, Riyadh 11432, Saudi Arabia.
  • Alsagri HS; Imam Mohammad Ibn Saud Islamic University, Information Systems Department, Riyadh 11432, Saudi Arabia.
Math Biosci Eng ; 19(8): 7586-7605, 2022 05 23.
Article in En | MEDLINE | ID: mdl-35801437
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Mobile Applications / COVID-19 Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Math Biosci Eng Year: 2022 Document type: Article Affiliation country: Pakistan Country of publication: United States
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Mobile Applications / COVID-19 Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Math Biosci Eng Year: 2022 Document type: Article Affiliation country: Pakistan Country of publication: United States