[HTML][HTML] Smart healthcare disease diagnosis and patient management: Innovation, improvement and skill development

A Ray, AK Chaudhuri - Machine Learning with Applications, 2021 - Elsevier
Data mining (DM) is an instrument of pattern detection and retrieval of knowledge from a
large quantity of data. Many robust early detection services and other health-related …

Heart disease prediction based on pre-trained deep neural networks combined with principal component analysis

D Hassan, HI Hussein, MM Hassan - Biomedical signal processing and …, 2023 - Elsevier
Heart Disease (HD) is often regarded as one of the deadliest human diseases. Therefore,
early prediction of HD risks is crucial for prevention and treatment. Unfortunately, current …

RETRACTED ARTICLE: Learning-based techniques for heart disease prediction: a survey of models and performance metrics

PC Bizimana, Z Zhang, M Asim, AAA El-Latif… - Multimedia Tools and …, 2024 - Springer
Heart disease (HD) is a major threat to human health, and the medical field generates vast
amounts of data that doctors struggle to effectively interpret and use. Early prediction and …

A nested stacking ensemble model for predicting districts with high and low maternal mortality ratio (MMR) in India

S Shastri, P Kour, S Kumar, K Singh, A Sharma… - International Journal of …, 2021 - Springer
The ensemble is an efficacious machine learning framework that combines variety of
algorithms for better performance and effective prediction. Over the past few years …

A research survey on state of the art heart disease prediction systems

LP Koyi, T Borra, GLV Prasad - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Disease prediction systems are the better alternatives, to avoid the human errors in disease
diagnosis and also assist in disease prevention with early detections. Highdemand in …

Prediction of heart disease using an approach based on machine learning

A Basak, MS Rahman… - 2022 13th International …, 2022 - ieeexplore.ieee.org
Heart disease is one of the most consequential illnesses currently understood. Because of
the widespread dissemination of information, numerous techniques and algorithms have …

Forecasting Congestive Heart Failure using Deep Learning

G Srilakshmi, GS Avinash, V Gayathri… - … on Electronics and …, 2023 - ieeexplore.ieee.org
Cardiovascular failure is one of the leading causes of death worldwide. Although significant
advances have been made in the area of cardiovascular healthcare over the years, it is still …

A machine learning approach to detect self-care problems of children with physical and motor disability

B Islam, NIM Ashafuddula… - 2018 21st International …, 2018 - ieeexplore.ieee.org
Inability to look after and take care of own self in a healthy way is referred to as self-care
problems. Physical disabilities are limitations in physical capacity, mobility of a person …

An Improved Heart Disease Prediction Using Stacked Ensemble Method

MM Islam, TN Tania, S Akter, KH Shakib - International Conference on …, 2022 - Springer
Several cardiac failures, heart disease mortality, and diagnostic costs can all be reduced
with early identification and treatment. The discovery of previously unknown patterns and …

[PDF][PDF] A STUDY FOR DIAGNOSING AND TREATMENT OF CHRONIC AND RECURRENT DISEASES USING DATA MINING TECHNIQUES Thesis submitted to

AK CHAUDHURI - 2022 - researchgate.net
The healthcare industry is one of the most information-intensive sectors. Medical facts,
expertise, and information continue to expand every day. It was projected that five terabytes …