[HTML][HTML] Smart healthcare disease diagnosis and patient management: Innovation, improvement and skill development
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 …
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
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 …
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RETRACTED ARTICLE: Learning-based techniques for heart disease prediction: a survey of models and performance metrics
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 …
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
The ensemble is an efficacious machine learning framework that combines variety of
algorithms for better performance and effective prediction. Over the past few years …
algorithms for better performance and effective prediction. Over the past few years …
A research survey on state of the art heart disease prediction systems
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 …
diagnosis and also assist in disease prevention with early detections. Highdemand in …
Prediction of heart disease using an approach based on machine learning
Heart disease is one of the most consequential illnesses currently understood. Because of
the widespread dissemination of information, numerous techniques and algorithms have …
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 …
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
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 …
problems. Physical disabilities are limitations in physical capacity, mobility of a person …
An Improved Heart Disease Prediction Using Stacked Ensemble Method
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 …
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 …
expertise, and information continue to expand every day. It was projected that five terabytes …