Physician-Friendly Machine Learning: A Case Study with Cardiovascular Disease Risk Prediction
Physician-Friendly Machine Learning: A Case Study with Cardiovascular Disease Risk Prediction is a scholarly work by Pengyu Yuan, published in 2019 in ''Journal of Clinical Medicine''. The main subjects of the publication include health informatics, machine learning, medicine, cardiovascular disease, classifier, computer science, support vector machine, multi-task learning, learning classifier system, and artificial intelligence. The authors argue that the recent development of auto machine learning techniques enables biomedical researchers to quickly build competitive machine learning classifiers without requiring in-depth knowledge about the underlying algorithms.