[HTML][HTML] Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions
Abstract The Internet of Medical Things (IoMT) has created a wide range of opportunities for
knowledge exchange in numerous industries. The opportunities include patient …
knowledge exchange in numerous industries. The opportunities include patient …
En-MinWhale: An ensemble approach based on MRMR and Whale optimization for Cancer diagnosis
According to the WHO, Cancer is a prominent cause of mortality worldwide, accounting for~
10 million fatalities at the end of 2020. The most common types of cancers include Lung …
10 million fatalities at the end of 2020. The most common types of cancers include Lung …
Breast cancer diagnosis based on IoT and deep transfer learning enabled by fog computing
Across all countries, both develo** and developed, women face the greatest risk of breast
cancer. Patients who have their breast cancer diagnosed and staged early have a better …
cancer. Patients who have their breast cancer diagnosed and staged early have a better …
CanDiag: fog empowered transfer deep learning based approach for cancer diagnosis
Breast cancer poses the greatest long-term health risk to women worldwide, in both
industrialized and develo** nations. Early detection of breast cancer allows for treatment …
industrialized and develo** nations. Early detection of breast cancer allows for treatment …
Simulating Fog of Medical Things: Research Challenges and Opportunities
Technology has a significant impact on medical applications at the current moment.
Contemporary computers are capable of processing a lot of patient medical records quickly …
Contemporary computers are capable of processing a lot of patient medical records quickly …
IFCnCov: An IoT‐based smart diagnostic architecture for COVID‐19
Performing a coronary disease diagnosis remotely is challenging now‐a‐days. COVID‐19 is
a worldwide pandemic, and methods for detecting COVID‐19 are hampered by insufficient …
a worldwide pandemic, and methods for detecting COVID‐19 are hampered by insufficient …
[PDF][PDF] A fog-enabled framework for ensemble machine learning-based real-time heart patient diagnosis
Accurately forecasting human diseases continues to be a challenging issue in the search for
better and more crucial studies. Heart disease is a potentially deadly condition that affects …
better and more crucial studies. Heart disease is a potentially deadly condition that affects …
Energy Efficient Localization Technique Using Multilateration for Reduction of Spatially and Temporally Correlated Data in RFID System
RFID plays a vital role in data communication in multidimensional WSNs as it collects vast
amounts of redundant data. The physical phenomena constitute the correlated observations …
amounts of redundant data. The physical phenomena constitute the correlated observations …
Blockchain-Enabled HeartCare framework for Cardiovascular Disease Diagnosis in devices with constrained resources
Cardiovascular diseases (CVDs) are the primary cause of mortality worldwide. The
healthcare sector in India currently shows promise for substantial changes, specifically in the …
healthcare sector in India currently shows promise for substantial changes, specifically in the …
SmartCardio: Advancing cardiac risk prediction through Internet of Things and edge cloud intelligence
Cardiovascular disease is a leading cause of illness and death globally. The integration of
Internet of Things (IoT) and deep learning technologies, including transfer learning, has …
Internet of Things (IoT) and deep learning technologies, including transfer learning, has …