Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System
With technological advancements, smart health monitoring systems are gaining growing importance and popularity. Today, business trends are changing from physical infrastructure to online services. With the restrictions imposed during COVID-19, medical services have been changed. The concepts of smar...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/10/4580 |
| _version_ | 1827740170739253248 |
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| author | Nouf Abdullah Almujally Turki Aljrees Oumaima Saidani Muhammad Umer Zaid Bin Faheem Nihal Abuzinadah Khaled Alnowaiser Imran Ashraf |
| author_facet | Nouf Abdullah Almujally Turki Aljrees Oumaima Saidani Muhammad Umer Zaid Bin Faheem Nihal Abuzinadah Khaled Alnowaiser Imran Ashraf |
| author_sort | Nouf Abdullah Almujally |
| collection | DOAJ |
| description | With technological advancements, smart health monitoring systems are gaining growing importance and popularity. Today, business trends are changing from physical infrastructure to online services. With the restrictions imposed during COVID-19, medical services have been changed. The concepts of smart homes, smart appliances, and smart medical systems have gained popularity. The Internet of Things (IoT) has revolutionized communication and data collection by incorporating smart sensors for data collection from diverse sources. In addition, it utilizes artificial intelligence (AI) approaches to control a large volume of data for better use, storing, managing, and making decisions. In this research, a health monitoring system based on AI and IoT is designed to deal with the data of heart patients. The system monitors the heart patient’s activities, which helps to inform patients about their health status. Moreover, the system can perform disease classification using machine learning models. Experimental results reveal that the proposed system can perform real-time monitoring of patients and classify diseases with higher accuracy. |
| first_indexed | 2024-03-11T03:21:12Z |
| format | Article |
| id | doaj.art-2b87faf0d9394c5f8008eb6c1e2e73b8 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T03:21:12Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2b87faf0d9394c5f8008eb6c1e2e73b82023-11-18T03:09:26ZengMDPI AGSensors1424-82202023-05-012310458010.3390/s23104580Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring SystemNouf Abdullah Almujally0Turki Aljrees1Oumaima Saidani2Muhammad Umer3Zaid Bin Faheem4Nihal Abuzinadah5Khaled Alnowaiser6Imran Ashraf7Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi ArabiaCollege of Computer Science and Engineering, University of Hafr Al-Batin, Hafar Al-Batin 39524, Saudi ArabiaDepartment of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi ArabiaDepartment of Computer Science & Information Technology, The Islamia University of Bahawalpur, Bahawalpur 63100, PakistanDepartment of Computer Science & Information Technology, The Islamia University of Bahawalpur, Bahawalpur 63100, PakistanFaculty of Computer Science and Information Technology, King Abdulaziz University, P.O. Box 80200, Jeddah 21589, Saudi ArabiaDepartment of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi ArabiaDepartment of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Republic of KoreaWith technological advancements, smart health monitoring systems are gaining growing importance and popularity. Today, business trends are changing from physical infrastructure to online services. With the restrictions imposed during COVID-19, medical services have been changed. The concepts of smart homes, smart appliances, and smart medical systems have gained popularity. The Internet of Things (IoT) has revolutionized communication and data collection by incorporating smart sensors for data collection from diverse sources. In addition, it utilizes artificial intelligence (AI) approaches to control a large volume of data for better use, storing, managing, and making decisions. In this research, a health monitoring system based on AI and IoT is designed to deal with the data of heart patients. The system monitors the heart patient’s activities, which helps to inform patients about their health status. Moreover, the system can perform disease classification using machine learning models. Experimental results reveal that the proposed system can perform real-time monitoring of patients and classify diseases with higher accuracy.https://www.mdpi.com/1424-8220/23/10/4580IoTsmart healthcarepatient mortality predictiondeep learningheart disease |
| spellingShingle | Nouf Abdullah Almujally Turki Aljrees Oumaima Saidani Muhammad Umer Zaid Bin Faheem Nihal Abuzinadah Khaled Alnowaiser Imran Ashraf Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System Sensors IoT smart healthcare patient mortality prediction deep learning heart disease |
| title | Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System |
| title_full | Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System |
| title_fullStr | Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System |
| title_full_unstemmed | Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System |
| title_short | Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System |
| title_sort | monitoring acute heart failure patients using internet of things based smart monitoring system |
| topic | IoT smart healthcare patient mortality prediction deep learning heart disease |
| url | https://www.mdpi.com/1424-8220/23/10/4580 |
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