Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
Machine learning-based coronary artery disease diagnosis: A comprehensive review
Coronary artery disease (CAD) is the most common cardiovascular disease (CVD) and often
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …
A new machine learning technique for an accurate diagnosis of coronary artery disease
Background and objective Coronary artery disease (CAD) is one of the commonest diseases
around the world. An early and accurate diagnosis of CAD allows a timely administration of …
around the world. An early and accurate diagnosis of CAD allows a timely administration of …
[PDF][PDF] Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals
The heart disease is one of the most serious health problems in today's world. Over 50
million persons have cardiovascular diseases around the world. Our proposed work based …
million persons have cardiovascular diseases around the world. Our proposed work based …
Improved machine learning-based predictive models for breast cancer diagnosis
Breast cancer death rates are higher than any other cancer in American women. Machine
learning-based predictive models promise earlier detection techniques for breast cancer …
learning-based predictive models promise earlier detection techniques for breast cancer …
Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals
Electrocardiography (ECG) is widely used for arrhythmia detection nowadays. The machine
learning methods with signal processing algorithms have been used for automated …
learning methods with signal processing algorithms have been used for automated …
A new nested ensemble technique for automated diagnosis of breast cancer
Nowadays, breast cancer is reported as one of most common cancers amongst women.
Early detection of this cancer is an essential to aid in informing subsequent treatments. This …
Early detection of this cancer is an essential to aid in informing subsequent treatments. This …
Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring
In the recent decades, credit scoring has become a very important analytical resource for
researchers and financial institutions around the world. It helps to boost both profitability and …
researchers and financial institutions around the world. It helps to boost both profitability and …
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 …
Software-based prediction of liver disease with feature selection and classification techniques
Today's health care is very important aspect for every human, so there is a need to provide
medical services that are easily available to everyone. In this paper, the main focus is to …
medical services that are easily available to everyone. In this paper, the main focus is to …