AIMC Topic: Heart Diseases
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Optimal feature selection using a modified differential evolution algorithm and its effectiveness for prediction of heart disease.
Computers in biology and medicine
Sep 19, 2017
Enormous data growth in multiple domains has posed a great challenge for data processing and analysis techniques. In particular, the traditional record maintenance strategy has been replaced in the healthcare system. It is vital to develop a model th...
New Dandelion Algorithm Optimizes Extreme Learning Machine for Biomedical Classification Problems.
Computational intelligence and neuroscience
Sep 11, 2017
Inspired by the behavior of dandelion sowing, a new novel swarm intelligence algorithm, namely, dandelion algorithm (DA), is proposed for global optimization of complex functions in this paper. In DA, the dandelion population will be divided into two...
An Ensemble Multilabel Classification for Disease Risk Prediction.
Journal of healthcare engineering
Jun 15, 2017
It is important to identify and prevent disease risk as early as possible through regular physical examinations. We formulate the disease risk prediction into a multilabel classification problem. A novel Ensemble Label Power-set Pruned datasets Joint...
Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm.
Computer methods and programs in biomedicine
Jan 18, 2017
Cardiovascular disease is one of the most rampant causes of death around the world and was deemed as a major illness in Middle and Old ages. Coronary artery disease, in particular, is a widespread cardiovascular malady entailing high mortality rates....
Automated identification of wound information in clinical notes of patients with heart diseases: Developing and validating a natural language processing application.
International journal of nursing studies
Sep 19, 2016
BACKGROUND: Electronic health records are being increasingly used by nurses with up to 80% of the health data recorded as free text. However, only a few studies have developed nursing-relevant tools that help busy clinicians to identify information t...
A decision support system to improve medical diagnosis using a combination of k-medoids clustering based attribute weighting and SVM.
Journal of medical systems
Mar 21, 2016
The use of machine learning tools has become widespread in medical diagnosis. The main reason for this is the effective results obtained from classification and diagnosis systems developed to help medical professionals in the diagnosis phase of disea...
Nanocomposites of gold nanoparticles and graphene oxide towards an stable label-free electrochemical immunosensor for detection of cardiac marker troponin-I.
Analytica chimica acta
Dec 30, 2015
A stable label-free amperometric immunosensor is presented based on gold nanoparticles and graphene oxide nanocomposites for detection of cardiac troponin-I in the early diagnosis of myocardial infarction. For designing of the sensing platform, first...
SIM-ELM: Connecting the ELM model with similarity-function learning.
Neural networks : the official journal of the International Neural Network Society
Nov 4, 2015
This paper moves from the affinities between two well-known learning schemes that apply randomization in the training process, namely, Extreme Learning Machines (ELMs) and the learning framework using similarity functions. These paradigms share a com...
Prediction of hospitalization due to heart diseases by supervised learning methods.
International journal of medical informatics
Oct 16, 2014
BACKGROUND: In 2008, the United States spent $2.2 trillion for healthcare, which was 15.5% of its GDP. 31% of this expenditure is attributed to hospital care. Evidently, even modest reductions in hospital care costs matter. A 2009 study showed that n...
Highlights 2024.
Radiology. Cardiothoracic imaging
Jun 1, 2025
publishes research, technical developments, and reviews related to cardiac, vascular, and thoracic imaging. The current review article, led by the trainee editorial board, highlights the most impactful articles published in the journal between Nove...
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