Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions

TA Shaikh, T Rasool, P Verma - Artificial Intelligence in Medicine, 2023 - Elsevier
Hospitals use medical cyber-physical systems (MCPS) more often to give patients quality
continuous care. MCPS isa life-critical, context-aware, networked system of medical …

[PDF][PDF] A review on heart disease prediction using machine learning and data analytics approach

M Marimuthu, M Abinaya, KS Hariesh… - International Journal of …, 2018 - academia.edu
Heart is the next major organ comparing to brain which has more priority in Human body. It
pumps the blood and supplies to all organs of the whole body. Prediction of occurrences of …

Machine learning techniques for heart disease prediction: a comparative study and analysis

R Katarya, SK Meena - Health and Technology, 2021 - Springer
Nowadays, people are getting caught in their day-to-day lives doing their work and other
things and ignoring their health. Due to this hectic life and ignorance towards their health …

Design and implementing heart disease prediction using naives Bayesian

AN Repaka, SD Ravikanti… - 2019 3rd International …, 2019 - ieeexplore.ieee.org
Data mining, a great develo** technique that revolves around exploring and digging out
significant information from massive collection of data which can be further beneficial in …

[PDF][PDF] Heart diseases prediction using deep learning neural network model

S Sharma, M Parmar - International Journal of Innovative …, 2020 - researchgate.net
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 …

Machine Learning‐Based Model to Predict Heart Disease in Early Stage Employing Different Feature Selection Techniques

N Biswas, MM Ali, MA Rahaman… - BioMed Research …, 2023 - Wiley Online Library
Almost 17.9 million people are losing their lives due to cardiovascular disease, which is 32%
of total death throughout the world. It is a global concern nowadays. However, it is a matter …

Identification of Heart Diseases using Novel Machine Learning Method

R Veeranjaneyulu, S Boopathi… - … on Advances in …, 2023 - ieeexplore.ieee.org
This study aims to enhance feature variety and organizationprocesses for heart disease
prediction using three different approaches. The integration of machine learning perception …

Multivariate time-series sensor vital sign forecasting of cardiovascular and chronic respiratory diseases

U Ahmed, JCW Lin, G Srivastava - Sustainable Computing: Informatics and …, 2023 - Elsevier
Approximately 19 million people die each year from cardiovascular and chronic respiratory
diseases. As a result of the recent Covid-19 epidemic, blood pressure, cholesterol, and …

Heart disease prediction using logistic regression and random forest classifier

PK Misra, N Kumar, A Misra… - Data-Centric AI Solutions …, 2023 - taylorfrancis.com
Day by day, the cases of heart diseases are increasing at a rapid rate and it's very Important
and concerning to predict any such diseases beforehand. This diagnosis is a difficult task ie …

[PDF][PDF] A web-based heart disease prediction system using machine learning algorithms

MM Rahman - Network Biology, 2022 - iaees.org
Disease diagnosis is the most critical task in the medical diagnosis system. At present, the
biggest challenge is to predict heart disease very quickly; for that limitation, the number of …