Deep learning for time series anomaly detection: A survey
Time series anomaly detection is important for a wide range of research fields and
applications, including financial markets, economics, earth sciences, manufacturing, and …
applications, including financial markets, economics, earth sciences, manufacturing, and …
Machine-learning-based disease diagnosis: A comprehensive review
Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …
complexity of the different disease mechanisms and underlying symptoms of the patient …
Heart sound classification based on improved MFCC features and convolutional recurrent neural networks
Heart sound classification plays a vital role in the early detection of cardiovascular disorders,
especially for small primary health care clinics. Despite that much progress has been made …
especially for small primary health care clinics. Despite that much progress has been made …
Deep learning for cardiovascular medicine: a practical primer
Deep learning (DL) is a branch of machine learning (ML) showing increasing promise in
medicine, to assist in data classification, novel disease phenoty** and complex decision …
medicine, to assist in data classification, novel disease phenoty** and complex decision …
Designing ECG monitoring healthcare system with federated transfer learning and explainable AI
Deep learning plays a vital role in classifying different arrhythmias using
electrocardiography (ECG) data. Nevertheless, training deep learning models normally …
electrocardiography (ECG) data. Nevertheless, training deep learning models normally …
Principles and perspectives in medical diagnostic systems employing artificial intelligence (AI) algorithms
The process of identifying a health problem, illness, disorder, or other condition is known as
disease diagnosis. Diagnosing certain diseases may be quite simple at times, but there may …
disease diagnosis. Diagnosing certain diseases may be quite simple at times, but there may …
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 …
Medical diagnostic systems using artificial intelligence (ai) algorithms: Principles and perspectives
Disease diagnosis is the identification of an health issue, disease, disorder, or other
condition that a person may have. Disease diagnoses could be sometimes very easy tasks …
condition that a person may have. Disease diagnoses could be sometimes very easy tasks …
Classification of heart sound signals using a novel deep WaveNet model
Background and objectives The high mortality rate and increasing prevalence of heart valve
diseases globally warrant the need for rapid and accurate diagnosis of such diseases …
diseases globally warrant the need for rapid and accurate diagnosis of such diseases …
Deep learning in cardiology
The medical field is creating large amount of data that physicians are unable to decipher
and use efficiently. Moreover, rule-based expert systems are inefficient in solving …
and use efficiently. Moreover, rule-based expert systems are inefficient in solving …