A hybrid cancer prediction based on multi-omics data and reinforcement learning state action reward state action (SARSA)
These days, the ratio of cancer diseases among patients has been growing day by day.
Recently, many cancer cases have been reported in different clinical hospitals. Many …
Recently, many cancer cases have been reported in different clinical hospitals. Many …
Federated auto-encoder and XGBoost schemes for multi-omics cancer detection in distributed fog computing paradigm
The digital healthcare paradigm has significantly improved based on distributed fog and
cloud networks for cancer detection with multiple classes in recent years. The paradigm …
cloud networks for cancer detection with multiple classes in recent years. The paradigm …
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 developing nations. Early detection of breast cancer allows for treatment …
industrialized and developing nations. Early detection of breast cancer allows for treatment …
[Retracted] A Smart Solution for Cancer Patient Monitoring Based on Internet of Medical Things Using Machine Learning Approach
A Sriram, G Sekhar Reddy… - Evidence‐Based …, 2022 - Wiley Online Library
The Internet of Medical Things (IoMT) is a huge, exciting new phenomenon that is changing
the world of technology and innovating various industries, including healthcare. It has …
the world of technology and innovating various industries, including healthcare. It has …
A cloud-based deep learning model in heterogeneous data integration system for lung cancer detection in medical industry 4.0
Currently, lung cancer has become one of the most common and deadliest types of cancer.
Due to its severity, many countries are now encouraging their at-risk citizens to test and treat …
Due to its severity, many countries are now encouraging their at-risk citizens to test and treat …
Cancer Diagnosis based on Artificial Intelligence, Machine Learning, and Deep Learning
Since cancer is a genetic disease induced by the gradual accumulation of several genetic
modifications, it will provide a better forum for understanding the cancer formation and …
modifications, it will provide a better forum for understanding the cancer formation and …
Effective task scheduling algorithm with deep learning for Internet of Health Things (IoHT) in sustainable smart cities
SM Nagarajan, GG Deverajan, P Chatterjee… - Sustainable Cities and …, 2021 - Elsevier
In the recent years, important key factor for urban planning is to analyze the sustainability
and its functionality towards smart cities. Presently, many researchers employ the …
and its functionality towards smart cities. Presently, many researchers employ the …
Improving Multi-Organ Cancer Diagnosis through a Machine Learning Ensemble Approach
Numerous methods for feature selection and classification have been developed, and the
process of identifying cancer becomes challenging when the quantity of the information is …
process of identifying cancer becomes challenging when the quantity of the information is …
Retracted article: Classification of lung cancer stages with machine learning over big data healthcare framework
R Sujitha, V Seenivasagam - Journal of Ambient Intelligence and …, 2021 - Springer
With the fast pace in collating big data healthcare framework and accurate prediction in
detection of lung cancer at early stages, machine learning gives the best of both worlds. In …
detection of lung cancer at early stages, machine learning gives the best of both worlds. In …
Applications and techniques of machine learning in cancer classification: A systematic review
The domain of Machine learning has experienced Substantial advancement and
development. Recently, showcasing a Broad spectrum of uses like Computational …
development. Recently, showcasing a Broad spectrum of uses like Computational …