14 天前 - … We apply the random forest algorithm to predict four non-communicable disease
outcomes (heart attack, cancer… Supervised machine learning methods search for functions that …

32 天前 - … case study focusing on prediction of cardiovascular disease risk in two large prospective
cohort studies… In practice, we can use machine learning algorithms (ridge regression or …

33 天前 - … At the heart of this exploration is the elucidation of AI's transformative role in
predictive … By harnessing the power of machine learning algorithms, the industry can predict …

84 天前 - … We aimed to design a machine-learning algorithm using … Machine learning offers
promise for tailored statin therapy in dyslipidemia. Future research will validate the algorithm's …

106 天前 - … tasks like prediction of clinical diseases from physiological … label classification
problem by end-to-end deep learning (… In summary, the empirical study clearly supports that our …

130 天前 - … This study employs machine learning algorithms and … and comprehensibility of
CVD prediction models. While … Our methodology employs machine learning algorithms to …

160 天前 - … This book contains outstanding research papers as the … research papers related
to data science and applications and serves as reference material for advanced research…

173 天前 - … Deep Learning is a subfield of machine learning in which … As a result, a deep
learning technique permits for exact 2L… various patients, arrangement of cardiovascular problems …

178 天前 - … Implementation of machine learning model to predict heart failure disease. Int. J. …
of machine learning algorithms for clinical event prediction (risk of coronary heart disease). J. …

191 天前 - … of deep learning algorithm, to predict the likelihood that a patient would have a
cardiovascular illness (… CNN for early-stage HF prediction. They employed Convolutional Neural …