An exhaustive survey on security and privacy issues in Healthcare 4.0
JJ Hathaliya, S Tanwar - Computer Communications, 2020 - Elsevier
The healthcare industry has revolutionized from 1.0 to 4.0 where Healthcare 1.0 was more
doctor centric and Healthcare 2.0 replaced manual records with electronic healthcare …
doctor centric and Healthcare 2.0 replaced manual records with electronic healthcare …
Role of emerging technologies in future IoT-driven Healthcare 4.0 technologies: A survey, current challenges and future directions
Abstract Since its inception, Healthcare 4.0 has empowered the integration of advanced
technologies to create and improve the quality of healthcare services. The delivery of …
technologies to create and improve the quality of healthcare services. The delivery of …
Efficient prediction of cardiovascular disease using machine learning algorithms with relief and LASSO feature selection techniques
Cardiovascular diseases (CVD) are among the most common serious illnesses affecting
human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
Heart disease prediction using machine learning techniques
Heart disease, alternatively known as cardiovascular disease, encases various conditions
that impact the heart and is the primary basis of death worldwide over the span of the past …
that impact the heart and is the primary basis of death worldwide over the span of the past …
Survey of machine learning algorithms for disease diagnostic
M Fatima, M Pasha - Journal of …, 2017 - geographical.openuniversityarchive …
In medical imaging, Computer Aided Diagnosis (CAD) is a rapidly growing dynamic area of
research. In recent years, significant attempts are made for the enhancement of computer …
research. In recent years, significant attempts are made for the enhancement of computer …
Machine learning in healthcare: A review
K Shailaja, B Seetharamulu… - … conference on electronics …, 2018 - ieeexplore.ieee.org
Machine Learning is modern and highly sophisticated technological applications became a
huge trend in the industry. Machine Learning is Omni present and is widely used in various …
huge trend in the industry. Machine Learning is Omni present and is widely used in various …
[PDF][PDF] Heart disease prediction and classification using machine learning algorithms optimized by particle swarm optimization and ant colony optimization.
Y Khourdifi, M Baha - … journal of Intelligent engineering & systems, 2019 - academia.edu
The prediction of heart disease is one of the areas where machine learning can be
implemented. Optimization algorithms have the advantage of dealing with complex non …
implemented. Optimization algorithms have the advantage of dealing with complex non …
A novel approach for breast cancer detection using data mining techniques
DV Chaurasia, S Pal - … journal of innovative research in computer …, 2017 - papers.ssrn.com
Breast cancer is one of the leading cancers for women when compared to all other cancers.
It is the second most common cause of cancer death in women. Breast cancer risk in India …
It is the second most common cause of cancer death in women. Breast cancer risk in India …
[PDF][PDF] Heart diseases prediction using deep learning neural network model
Deep learning plays an important role in the field of medical science in solving health issues
and diagnosing various diseases. So in this paper, we will discuss heart disease. We …
and diagnosing various diseases. So in this paper, we will discuss heart disease. We …
Early prediction of heart diseases using data mining techniques
DV Chaurasia, S Pal - Caribbean journal of Science and …, 2013 - papers.ssrn.com
Largest-ever study of deaths shows heart diseases have emerged as the number one killer
in world. About 25 per cent of deaths in the age group of 25-69 years occur because of heart …
in world. About 25 per cent of deaths in the age group of 25-69 years occur because of heart …