COVID-19 detection from CBC using machine learning techniques
A Akhtar, S Akhtar, B Bakhtawar… - International Journal …, 2021 - journals.gaftim.com
Covid-19 pandemic has seriously affected the mankind with colossal loss of life around the
world. There is a critical requirement for timely and reliable detection of Corona virus …
world. There is a critical requirement for timely and reliable detection of Corona virus …
Treatment response prediction in hepatitis C patients using machine learning techniques
AA Kashif, B Bakhtawar, A Akhtar… - International Journal …, 2021 - journals.gaftim.com
The proper prognosis of treatment response is crucial in any medical therapy to reduce the
effects of the disease and of the medication as well. The mortality rate due to hepatitis c virus …
effects of the disease and of the medication as well. The mortality rate due to hepatitis c virus …
[PDF][PDF] Supervised machine learning-based prediction of COVID-19
A Atta-ur-Rahman, K Sultan, I Naseer… - … , Materials & Continua, 2021 - researchgate.net
COVID-19 turned out to be an infectious and life-threatening viral disease, and its swift and
overwhelming spread has become one of the greatest challenges for the world. As yet, no …
overwhelming spread has become one of the greatest challenges for the world. As yet, no …
An iomt‐enabled smart healthcare model to monitor elderly people using machine learning technique
The Internet of Medical Things (IoMT) enables digital devices to gather, infer, and broadcast
health data via the cloud platform. The phenomenal growth of the IoMT is fueled by many …
health data via the cloud platform. The phenomenal growth of the IoMT is fueled by many …
Secure IoMT for disease prediction empowered with transfer learning in healthcare 5.0, the concept and case study
Identifying human diseases remains a difficult process, even in the age of advanced
information technology and the smart healthcare industry 5.0. In the smart healthcare …
information technology and the smart healthcare industry 5.0. In the smart healthcare …
A Proposed Architecture for Traffic Monitoring & Control System via LiFi Technology in Smart Homes
Realizing secure and fast communication in smart homes is still a challenging task due to
slow and imperfect information reception from end nodes for proper traffic control. The image …
slow and imperfect information reception from end nodes for proper traffic control. The image …
Fused weighted federated deep extreme machine learning based on intelligent lung cancer disease prediction model for healthcare 5.0
In the era of advancement in information technology and the smart healthcare industry 5.0,
the diagnosis of human diseases is still a challenging task. The accurate prediction of …
the diagnosis of human diseases is still a challenging task. The accurate prediction of …
A Systematic Review on Brain Tumor Detection Using Machine Learning
Brain tumors are one of the deadliest forms of cancer, and early detection is critical for
improving patient outcomes. Although several large initiatives and findings in this sector …
improving patient outcomes. Although several large initiatives and findings in this sector …
Ovary cancer diagnosing empowered with machine learning
A high mortality rate is associated with ovarian cancer, one of the most common types of
cancers in women. Ovarian cancer refers to a group of disorders that develop in the ovaries …
cancers in women. Ovarian cancer refers to a group of disorders that develop in the ovaries …
Fog-cloud architecture-driven Internet of Medical Things framework for healthcare monitoring
The new coronavirus disease (COVID-19) has increased the need for new technologies
such as the Internet of Medical Things (IoMT), Wireless Body Area Networks (WBANs), and …
such as the Internet of Medical Things (IoMT), Wireless Body Area Networks (WBANs), and …