Clustering Diagnostic Codes: Exploratory Machine Learning Approach for Preventive Care of Chronic DiseasesHigh prevalence of chronic diseases along with poor health condition and the rising diagnosis and treatment costs necessitates concentration on prevention, early detection and disease management. In this ...
The rapid progress in artificial intelligence (AI) and machine learning (ML) has raised hopes for a more personalized, efficient, and effective approach to the management of diabetes mellitus and its cardiovascular sequelae [1,2]. It is estimated that nearly 529 million people worldwide and 35 ...
Machine learning is a subset of AI. The four most common types of machine learning are supervised, unsupervised, semi-supervised, and reinforced. Popular types of machine learning algorithms include neural networks, decision trees, clustering, and random forests. Common machine learning use cases in...
Machine learning systems can also analyze symptoms, genetic information, and other patient data to suggest tests for conditions such as cancer, diabetes, and heart disease. The key features of machine learning are the Automatic discovery of patterns Prediction of likely outcomes Creation of actionable...
body mass index; BAI, body adiposity index; LHR, LDL/HDL ratio; INS, insulin; IL-6, interleukin 6; NEFA, nonesterified fatty acid; hs-CRP, high-sensitivity C-reactive protein; ADP, adiponectin; MetS, metabolic syndrome; FHH, family history of hypertension; FHD, family h...
The most common form of unsupervised machine learning is clustering. A clustering algorithm identifies similarities between observations based on their features, and groups them into discrete clusters. For example:Group similar flowers based on their size, number of leaves, and number of petals. ...
“Coronary artery disease” OR “Atherosclerotic heart disease” OR “Atherosclerotic vascular disease” OR “Coronary heart disease”)AND (disease OR failure OR diagnosis OR prognosis OR treatment) AND(“machine learning” OR “data mining” OR “machine intelligent” OR classification OR clustering)...
Prediction model for cardiovascular disease in patients with diabetes using machine learning derived and validated in two independent Korean cohorts Article Open access 28 June 2024 Introduction Artificial intelligence (AI) and machine learning (ML) encompasses a plethora of supervised and unsupervised met...
to identify patterns and detect abnormalities that may not be visible to the human eye or that an overworked diagnostician might miss. Machine learning systems can also analyze symptoms, genetic information, and other patient data to suggest tests for conditions such as cancer, diabetes, and heart...
ensemble learning for effective run-time hardware-based malware detection: a comprehensive analysis and classification [Paper] web-based startup success prediction [Paper] robust federated learning based on metrics learning and unsupervised clustering for malicious data detection [Paper] when video...