An Intelligent and Reliable Hyperparameter Optimization Machine Learning Model for Early Heart Disease Assessment Using Imperative Risk Attributes

Significance of Visible Non-Invasive Risk Attributes for the Initial Prediction of Heart Disease Using Different Machine Learning Techniques

(2022) Syed Immamul Ansarullah et al.   Computational Intelligence and Neuroscience

Data Resource Profile: Understanding the patterns and determinants of health in South Asians—the South Asia Biobank

(2021) Peige Song et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association

(2020) Salim S. Virani et al.   CIRCULATION

Development and validation of risk prediction models for multiple cardiovascular diseases and Type 2 diabetes

(2020) Mehrdad Rezaee et al.   PLoS One

Development and Validation of the Chronic Disease Population Risk Tool (CDPoRT) to Predict Incidence of Adult Chronic Disease

(2020) Ryan Ng et al.   JAMA Network Open

A Survey on Internet of Things and Cloud Computing for Healthcare

(2019) L. Minh Dang et al.   Electronics

Patterns and temporal trends of comorbidity among adult patients with incident cardiovascular disease in the UK between 2000 and 2014: A population-based cohort study

(2018) Jenny Tran et al.   PLOS MEDICINE

The diagnostic and prognostic potential of plasma extracellular vesicles for cardiovascular disease

(2015) Ingrid EM Bank et al.   EXPERT REVIEW OF MOLECULAR DIAGNOSTICS

Rough-Fuzzy Classifier: A System to Predict the Heart Disease by Blending Two Different Set Theories

(2014) K. Srinivas et al.   ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING

Forecasting the Impact of Heart Failure in the United States

(2013) Paul A. Heidenreich et al.   Circulation-Heart Failure

A data mining approach for diagnosis of coronary artery disease

(2013) Roohallah Alizadehsani et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Growing Epidemic of Coronary Heart Disease in Low- and Middle-Income Countries

(2009) Thomas A. Gaziano et al.   CURRENT PROBLEMS IN CARDIOLOGY