Machine Learning for Medical Coding in Healthcare Surveys.

Objectives Medical coding, or the translation of healthcare information into numeric codes, is expensive and time intensive. This exploratory study evaluates the use of machine learning classifiers to perform automated medical coding for large statistical healthcare surveys.

Heparin-coated adult ECMO vs. ventricular assist devices: a decision analysis modeling approach.

Postcardiotomy failure requiring ventricular assist occurs in about 1% of adult patients undergoing cardiac surgical procedures. One method of support is a short-term ventricular assist device. This incurs the cost of the device, which is substantial, and allows for reduced anticoagulation in the first 24 hours.