Healthcare predictive analytics using machine learning and deep learning techniques: a survey
Healthcare prediction has been a significant factor in saving lives in recent years. In the
domain of health care, there is a rapid development of intelligent systems for analyzing …
domain of health care, there is a rapid development of intelligent systems for analyzing …
Machine Learning in Healthcare Analytics: A State-of-the-Art Review
The use of machine learning (ML) models have become a crucial factor in the growing field
of healthcare, ushering in a new era of medical research and diagnosis. This study …
of healthcare, ushering in a new era of medical research and diagnosis. This study …
An improved auto categorical PSO with ML for heart disease prediction
Cardiovascular or heart diseases consist a global major health concern. Cardiovascular
diseases have the highest mortality rate worldwide, and the death rate increases with age …
diseases have the highest mortality rate worldwide, and the death rate increases with age …
Heart disease prediction using machine learning
Abstract Early Prediction of Chronic Heart Disease (CHD) makes use of the data collected
on people over the span of 10 years. The data contains various information corresponding …
on people over the span of 10 years. The data contains various information corresponding …
Improving Accuracy of Heart Disease Prediction through Machine Learning Algorithms
MA Shaik, R Sreeja, S Zainab… - … on Innovative Data …, 2023 - ieeexplore.ieee.org
One of the main causes of death in the world is heart disease. Early heart disease detection
and treatment can lower mortality rates and enhance quality of life which is the major …
and treatment can lower mortality rates and enhance quality of life which is the major …
Automated detection of acute lymphoblastic leukemia subtypes from microscopic blood smear images using Deep Neural Networks
MTHK Tusar, RK Anik - arXiv preprint arXiv:2208.08992, 2022 - arxiv.org
An estimated 300,000 new cases of leukemia are diagnosed each year which is 2.8 percent
of all new cancer cases and the prevalence is rising day by day. The most dangerous and …
of all new cancer cases and the prevalence is rising day by day. The most dangerous and …
Lidom: A Disease Risk Prediction Model Based on LightGBM Applied to Nursing Homes
With the innovation of technologies such as sensors and artificial intelligence, some nursing
homes use wearable devices to monitor the movement and physiological indicators of the …
homes use wearable devices to monitor the movement and physiological indicators of the …
A Comprehensive Study of Deep Learning Techniques to Predict Dissimilar Diseases in Diabetes Mellitus Using IoT
R Balaraju, K Lakshmanna - Recent Advances in Computer …, 2024 - ingentaconnect.com
India has evaluated 77 million people with diabetes, which makes it the second most
elaborated disease in the world. Diabetes is a chronic syndrome that occurs with increased …
elaborated disease in the world. Diabetes is a chronic syndrome that occurs with increased …
[HTML][HTML] Secure and private data sharing in CPS e-health systems based on CB-SMO techniques
In recent years, security and privacy preservation are key problems in the systems,
electronic health data exchange can help to improving diagnostic accuracy. Due to its …
electronic health data exchange can help to improving diagnostic accuracy. Due to its …
Integrated k-means clustering with nature inspired optimization algorithm for the prediction of disease on high dimensional data
As per WHO report, 86.6% of deaths in China is due to chronic disease. Also, on average,
12 million people dies every year due to heart attack. On another side, we have a …
12 million people dies every year due to heart attack. On another side, we have a …