Enhancing heart disease prediction accuracy through machine learning techniques and optimization
N Chandrasekhar, S Peddakrishna - Processes, 2023 - mdpi.com
In the medical domain, early identification of cardiovascular issues poses a significant
challenge. This study enhances heart disease prediction accuracy using machine learning …
challenge. This study enhances heart disease prediction accuracy using machine learning …
A Review of Machine Learning's Role in Cardiovascular Disease Prediction: Recent Advances and Future Challenges
Cardiovascular disease is the leading cause of global mortality and responsible for millions
of deaths annually. The mortality rate and overall consequences of cardiac disease can be …
of deaths annually. The mortality rate and overall consequences of cardiac disease can be …
Heart disease risk prediction using machine learning classifiers with attribute evaluators
Cardiovascular diseases (CVDs) kill about 20.5 million people every year. Early prediction
can help people to change their lifestyles and to ensure proper medical treatment if …
can help people to change their lifestyles and to ensure proper medical treatment if …
A Comprehensive Review on Heart Disease Risk Prediction using Machine Learning and Deep Learning Algorithms
VVR Karna, VR Karna, V Janamala… - … Methods in Engineering, 2024 - Springer
Cardiovascular diseases claim approximately 17.9 million lives annually, with heart attacks
and strokes accounting for over 80% of these deaths. Key risk factors, including …
and strokes accounting for over 80% of these deaths. Key risk factors, including …
Incorporating cnn features for optimizing performance of ensemble classifier for cardiovascular disease prediction
Cardiovascular diseases (CVDs) have been regarded as the leading cause of death with
32% of the total deaths around the world. Owing to the large number of symptoms related to …
32% of the total deaths around the world. Owing to the large number of symptoms related to …
Identification of crop diseases and insect pests based on deep learning
B Wang - Scientific Programming, 2022 - Wiley Online Library
In order to solve the problems of many kinds of crop diseases and pests, fast diffusion
speed, and long time of manual identification of diseases and pests, a crop disease and pest …
speed, and long time of manual identification of diseases and pests, a crop disease and pest …
Classification of oils and margarines by FTIR spectroscopy in tandem with machine learning
This study assessed the combined utility of ATR-FTIR spectroscopy and machine learning
(ML) techniques for identifying and classifying pure njangsa seed oil (NSO), palm kernel oil …
(ML) techniques for identifying and classifying pure njangsa seed oil (NSO), palm kernel oil …
Word2vec neural model-based technique to generate protein vectors for combating COVID-19: a machine learning approach
TA Adjuik, D Ananey-Obiri - International Journal of Information …, 2022 - Springer
The world was ambushed in 2019 by the COVID-19 virus which affected the health,
economy, and lifestyle of individuals worldwide. One way of combating such a public health …
economy, and lifestyle of individuals worldwide. One way of combating such a public health …
[HTML][HTML] Using machine learning models to predict the quality of plant-based foods
Plant-based foods (PBFs) are considered healthy, especially, minimally processed whole
foods, fruits, whole grains, and legumes while highly processed PBFs maybe less nutritious …
foods, fruits, whole grains, and legumes while highly processed PBFs maybe less nutritious …
Heart failure detection using instance quantum circuit approach and traditional predictive analysis
S Alsubai, A Alqahtani, A Binbusayyis, M Sha… - Mathematics, 2023 - mdpi.com
The earlier prediction of heart diseases and appropriate treatment are important for
preventing cardiac failure complications and reducing the mortality rate. The traditional …
preventing cardiac failure complications and reducing the mortality rate. The traditional …