American Heart Association.

By W. Alexander. P & T : a peer-reviewed journal for formulary management, 2018

722 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine

View Paper: https://www.semanticscholar.org/paper/ae790e117181e3e09c8102e0504921cc8e36ee1a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Stacey Miertschin
2. Amber Young
3. A. Dinh
4. Somya D. Mohanty
5. Palak Mahajan

Citations in the corpus

• A data-driven approach to predicting diabetes and cardiovascular disease with machine learning (2019, background): “American Heart Association reports at least 68% of people age 65 or older with diabetes, die of heart disease [4].”