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Machine learning for dementia prediction: a systematic review and future research directions
Abstract Nowadays, Artificial Intelligence (AI) and machine learning (ML) have successfully
provided automated solutions to numerous real-world problems. Healthcare is one of the …
provided automated solutions to numerous real-world problems. Healthcare is one of the …
[Retracted] Machine Learning‐Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic …
A Javeed, SU Khan, L Ali, S Ali… - … Methods in Medicine, 2022 - Wiley Online Library
One of the leading causes of deaths around the globe is heart disease. Heart is an organ
that is responsible for the supply of blood to each part of the body. Coronary artery disease …
that is responsible for the supply of blood to each part of the body. Coronary artery disease …
Feature reduction for hepatocellular carcinoma prediction using machine learning algorithms
G Mostafa, H Mahmoud, T Abd El-Hafeez… - Journal of Big Data, 2024 - Springer
Hepatocellular carcinoma (HCC) is a highly prevalent form of liver cancer that necessitates
accurate prediction models for early diagnosis and effective treatment. Machine learning …
accurate prediction models for early diagnosis and effective treatment. Machine learning …
The comparison of LightGBM and XGBoost coupling factor analysis and prediagnosis of acute liver failure
D Zhang, Y Gong - Ieee Access, 2020 - ieeexplore.ieee.org
This paper focuses on the comparison of dimensionality reduction effect between LightGBM
and XGBoost-FA. With respect to XGBoost, LightGBM can be built in the effect of …
and XGBoost-FA. With respect to XGBoost, LightGBM can be built in the effect of …
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 …
LDA–GA–SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine
Hepatocellular carcinoma (HCC) is a common type of liver cancer worldwide. Patients with
HCC have rare chances of survival. The chances of survival increase, if the cancer is …
HCC have rare chances of survival. The chances of survival increase, if the cancer is …
Parkinson's disease detection based on features refinement through L1 regularized SVM and deep neural network
In previous studies, replicated and multiple types of speech data have been used for
Parkinson's disease (PD) detection. However, two main problems in these studies are lower …
Parkinson's disease (PD) detection. However, two main problems in these studies are lower …
[HTML][HTML] Improved heart disease prediction using particle swarm optimization based stacked sparse autoencoder
Heart disease is the leading cause of death globally. The most common type of heart
disease is coronary heart disease, which occurs when there is a build-up of plaque inside …
disease is coronary heart disease, which occurs when there is a build-up of plaque inside …
[HTML][HTML] Comparative anatomization of data mining and fuzzy logic techniques used in diabetes prognosis
Diabetes is an ailment in which glucose level increase in at high rates in blood due to body's
inability to metabolize it. This happens when body does not produce sufficient amount of …
inability to metabolize it. This happens when body does not produce sufficient amount of …
A novel sample and feature dependent ensemble approach for Parkinson's disease detection
Parkinson's disease (PD) is a neurological disease that has been reported to have affected
most people worldwide. Recent research pointed out that about 90% of PD patients possess …
most people worldwide. Recent research pointed out that about 90% of PD patients possess …