Dr.G.M.Nasira and Mrs.S.Radhimeenakshi., " Heart Failure Prediction using Particle Swarm Optimization in case of Remote Health Monitoring" International Journal of Advanced Research in Computer Science and Software Engineering, vol 4 .Issue 6, pp.486-490, June 2014...
In this paper we propose a method to finding important features by applying machine learning techniques. The work is to design and develop prediction of heart disease by feature ranking machine learning. Hence ML has huge impact in saving lives and helping the doctors, widening the scope of ...
Validation of the prediction model is an essential step in machine learning processes. In this paper, the K-Fold cross-validation method is applied to validating the results of the above-mentioned classification models. K-fold cross validation (CV) In K-Fold CV, the whole dataset is split int...
this model also displays its adaptability to a variety of other risk prediction and evaluation tasks. Due to its adaptability, it can be used well across a variety of domains, making it an important tool for many different
Glycemic Status and Incident Heart Failure in Elderly Without History of Diabetes Mellitus: The Health, Aging, and Body Composition Study It is unclear whether measures of glycemic status beyond fasting glucose (FG) levels improve incident heart failure (HF) prediction in patients without his... A...
JACC: Heart FailureResearch Article Pooja Dewan, Rasmus Rørth, etc. 13小时前 ObjectivesThis study examined the relationship between income inequality and heart failure outcomes. 本研究探讨了收入不平等与心力衰竭结局之间的关系。 BackgroundThe income inequality hypothesis postulates that population health ...
Within heart failure research, current applications of machine learning include creating new approaches to diagnosis, classifying patients into novel phenotypic groups, and improving prediction capabilities. In this paper, we provide an overview of machine learning targeted for the practicing clinician and ...
Business failure prediction using hybrid2 case-based reasoning (H2CBR) Business failure prediction using hybrid2 case-based reasoning ( H2CBR) [J]. Computers & Operations Re- search,2010,37: 137-151... L Hui,S Jie - 《Computers & Operations Research》 被引量: 59发表: 2010年 Heart failur...
Heart failure (HF) is a leading cause of death and morbidity worldwide and is responsible for a large portion of healthcare and disability costs every year1. HF is challenging to treat because it can have various causes, is impacted by a wide array of patient genetic and lifestyle factors...
Emerging technologies such as machine learning and deep learning are now being actively used in biomedical care, healthcare, and disease prediction. The focus of this paper is on the prediction of coronary heart disease (CHD) using a risk factor approach. Predictive techniques such as K-Nearest ...