Machine learning better predicts bleeding risk during coronary procedures

Machine learning techniques can better predict bleeding for patients undergoing percutaneous coronary intervention than other methods, report Yale researchers.
Source: Yale Science and Health News - Category: Universities & Medical Training Source Type: news