Recomienda este artículo a tus amigos:
Role of Machine Learning in IoT-Cloud Enabled Healthcare : Prospects, Challenges and Opportunities
Nuestros clientes opinan:
Role of Machine Learning in IoT-Cloud Enabled Healthcare : Prospects, Challenges and Opportunities
Today, Machine Learning (ML) plays a transformative role in IoT-cloud enabled healthcare by enabling intelligent analysis of real-time patient data collected through wearable devices, sensors, and smart medical systems. ML models support disease prediction, remote patient monitoring, personalized treatment, anomaly detection, and clinical decision-making. Cloud platforms provide scalable storage, processing power, and seamless accessibility for healthcare data analytics.
However, some challenges remain like data privacy, security, interoperability, data quality, and regulatory compliance remain significant. Some of the future opportunities arising from this convergence include federated learning, explainable AI, digital twins, predictive healthcare, and AI-driven precision medicine – which have the potential to improve healthcare efficiency and patient outcomes.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Pendiente de lanzamiento | 3 de enero de 2027 |
| ISBN13 | 9781041310792 |
| Editores | Taylor & Francis Ltd |
| Páginas | 330 |
| Dimensiones | 150 × 220 × 20 mm · 528 g (Peso (estimado)) |
