Heart failure patients monitoring using IoT-based remote monitoring system.
Muhammad UmerTurki AljreesHanen KaramtiAbid IshaqShtwai AlsubaiMarwan OmarAli Kashif BashirImran AshrafPublished in: Scientific reports (2023)
Intelligent health monitoring systems are becoming more important and popular as technology advances. Nowadays, online services are replacing physical infrastructure in several domains including medical services as well. The COVID-19 pandemic has also changed the way medical services are delivered. Intelligent appliances, smart homes, and smart medical systems are some of the emerging concepts. The Internet of Things (IoT) has changed the way communication occurs alongside data collection sources aided by smart sensors. It also has deployed artificial intelligence (AI) methods for better decision-making provided by efficient data collection, storage, retrieval, and data management. This research employs health monitoring systems for heart patients using IoT and AI-based solutions. Activities of heart patients are monitored and reported using the IoT system. For heart disease prediction, an ensemble model ET-CNN is presented which provides an accuracy score of 0.9524. The investigative data related to this system is very encouraging in real-time reporting and classifying heart patients with great accuracy.
Keyphrases
- healthcare
- artificial intelligence
- big data
- ejection fraction
- mental health
- end stage renal disease
- electronic health record
- primary care
- newly diagnosed
- health information
- machine learning
- public health
- heart failure
- decision making
- prognostic factors
- atrial fibrillation
- peritoneal dialysis
- physical activity
- deep learning
- risk assessment
- social media
- emergency department
- patient reported outcomes
- patient reported
- climate change
- human health
- health insurance