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 …
A Comprehensive Investigation of the Performances of Different Machine Learning Classifiers with SMOTE‐ENN Oversampling Technique and Hyperparameter …
M Muntasir Nishat, F Faisal, I Jahan Ratul… - Scientific …, 2022 - Wiley Online Library
Heart failure is a chronic cardiac condition characterized by reduced supply of blood to the
body due to impaired contractile properties of the muscles of the heart. Like any other …
body due to impaired contractile properties of the muscles of the heart. Like any other …
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 …
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 …
Understanding the binding affinity of noscapines with protease of SARS-CoV-2 for COVID-19 using MD simulations at different temperatures
The current outbreak of a novel coronavirus, named as SARS-CoV-2 causing COVID-19
occurred in 2019, is in dire need of finding potential therapeutic agents. Recently, ongoing …
occurred in 2019, is in dire need of finding potential therapeutic agents. Recently, ongoing …
Energy management using multi-criteria decision making and machine learning classification algorithms for intelligent system
Hybrid energy systems (HESs) are one of the most effective solutions for the power demand
especially in remote areas. It is well-known that the HESs usually include renewables like …
especially in remote areas. It is well-known that the HESs usually include renewables like …
Heart risk failure prediction using a novel feature selection method for feature refinement and neural network for classification
Diagnosis of heart disease is a difficult job, and researchers have designed various
intelligent diagnostic systems for improved heart disease diagnosis. However, low heart …
intelligent diagnostic systems for improved heart disease diagnosis. However, low heart …
Machine learning-based virtual screening and molecular simulation approaches identified novel potential inhibitors for cancer therapy
Cyclin-dependent kinase 2 (CDK2) is a promising target for cancer treatment, developing
new effective CDK2 inhibitors is of great significance in anticancer therapy. The involvement …
new effective CDK2 inhibitors is of great significance in anticancer therapy. The involvement …
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 …